PhD scholarship

 PhD positions in Bioinformatics, Genomics and Life Science:


Update on March 28, 2023

PhD position in Analysis of Single-Cell & Spatial Transcriptomics

The Department of Mathematics and Computer Science at the University of Southern Denmark for the Computational Biology group chaired by Professor Richard Röttger invites applications for a PhD position for the development of innovative algorithms for the joint analysis of single-cell & spatial transcriptomic data in the framework of the Novo Nordisk Foundation funded collaborative data science grant “MOPITAS” – Multi-omics profiling in time and space.

The successful candidate will be part of a strong international consortium (University of Southern Denmark, University of Copenhagen, EMBL, Technical University of Munich) ranging from data-science driven wet-lab experimentation to cutting-edge algorithm development. It is envisioned that the involved researchers are also actively visiting the connected labs.

We are seeking outstanding candidates with a completed Master’s degree in Computer Science, Bioinformatics, Molecular Biology or similar. Master’s candidates about to complete their graduate studies will also be considered and should attach a statement from their supervisors regarding their impending completion. Applications for a 4+4 PhD programme are also welcome.

The candidate should have strong analytical and problem-solving skills and be strong in written and oral communication (in English). Expertise in data analysis of single-cell sequencing data as well as spatial transcriptomics are welcome but not strictly required.

Place of work
Computational Biology Group, Department of Mathematics and Computer Science, located at the main campus of the University of Southern Denmark, Odense, Denmark.

For further information please contact Professor Richard Röttger, tel.: +45 6550 2337, e-mail: roettger@imada.sdu.dk.

Deadline 2023-Apr-19

Apply here


PhD Studentship: Integrating transcriptomic and genomic datasets to investigate human tuberculosis

This project will develop a novel bioinformatic approach to integrate currently emerging transcriptomic datasets with historical genomic datasets to study human infection, using tuberculosis as an exemplar. The student will develop expertise in Next Generation Sequencing analysis to build a multi-omic pipeline which can be applied to other human diseases.

The field of translational bioinformatics is rapidly advancing with Next Generation Sequencing (NGS) generating vast transcriptomic datasets that provide unprecedented insight into human disease. However, a major challenge is analysing the wealth of information to identify potential biological targets with clinical relevance. Highly valuable datasets based on previous methods such as genomic studies are often overlooked, and approaches to integrate the latest datasets with earlier analytical methods remain underdeveloped.

To address this, the project will develop a new multi-omic pipeline, integrating the latest published transcriptomic datasets and utilising historical genomic studies to validate the finding, with the aim of finding new therapeutic targets in human disease. Tuberculosis is an ideal exemplar as there are a wealth of historical and emerging datasets, and is a globally important pandemic, killing more humans than any pathogen after SARS-CoV-2. Furthermore, the immunopathology of tuberculosis is poorly understood, with an absence of new therapies for several decades.

The identified biological targets identified through this bioinformatic approach will be investigated using Southampton’s advanced cell culture model, with the potential to translate to in vivo studies. This project will develop expertise in both transcriptomic and genomic analysis, by training in relevant tools such as R programming language and Python, to gain a unique skillset across bioinformatic disciplines that can provide mechanistic and diagnostic insight into disease processes. They will also gain experience in advanced 3-dimensional cell culture. This multi-omic approach can be applied to any human disease and therefore has huge potential to impact across bioscience.

Project Title:  Integrating transcriptomic and genomic datasets to investigate human tuberculosis

Lead Institute / Faculty: Medicine

Main Supervisor:  Dr Michaela Reichmann

Other members of the supervisory team: Professor Paul Elkington, Professor Sarah Ennis and Dr Guo Cheng

Start date:  25/09/2023

Apply here


PhD position in Systems biology

Eukaryotic cell growth is tightly regulated by a set of conserved signaling pathways that monitor the extracellular and intracellular environment. In dividing cells, the activity of these pathways needs to be coordinated with the cell division cycle to maintain cellular homeostasis, and disruption of this coordination can lead to a wide range of pathologies. However, we still do not fully understand how these signaling pathways regulate cell cycle progression, even though it has long been known that they exert strong cell cycle control. The project will address this complex question in the model eukaryote Saccharomyces cerevisiae (budding yeast) by combining dynamic perturbations of protein abundances in growth-regulatory pathways (TORC1, TORC2, PKA and AMPK) with single-cell time lapse microscopy of cell cycle progression and statistical modeling. Pathway components with the strongest effects on the cell cycle will be singled out for subsequent experiments to uncover cell cycle regulators affected by these components. This work aims to elucidate a largely unexplored aspect of growth signaling, and thus contribute to our understanding of fundamental cellular processes which are ultimately linked with human health.

Organization
The Molecular Systems Biology (MSB) group at the University of Groningen (NL) has an opening for a 4-year PhD position. The University of Groningen, located in the north of the Netherlands, enjoys an international reputation as one of the oldest and leading research universities in Europe. The MSB group, part of the Groningen Biomolecular Sciences and Biotechnology Institute (GBB), aims at generating a systems-level understanding of cellular metabolism (Prof. Matthias Heinemann), growth regulation by signaling pathways (Dr. Andreas Milias-Argeitis) and the regulation of cell division mechanisms (Dr. Julia Kamenz). Towards these goals, the group members combine experimental approaches using state-of-the-art single-cell technologies such as microfluidics and optogenetics, and develop new methods to address the computational challenges that arise. Together, the members of the international and interdisciplinary team (PhD students and postdocs with backgrounds in biology, engineering, physics and mathematics) create an inspiring and highly collaborative research atmosphere. The description for the currently open position is provided below. The project will be supervised by Dr. A. Milias-Argeitis.

Qualifications

  • a Master’s degree and a background in molecular biology, systems biology or biochemistry, and ideally some undergraduate research experience. Familiarity with yeast genetic engineering and fluorescence microscopy is a plus
  • you have good knowledge of a high-level programming language (e.g. Matlab, Python or R)
  • you have a good command of English (oral and written) and possess excellent communication and collaboration skills.

 

Conditions of employment

 

We offer you in accordance with the Collective Labour Agreement for Dutch Universities:

  • a salary of € 2,541 gross per month in the first year, up to a maximum of € 3,247 gross per month (based on fulltime employment) in the fourth and final year
  • a full-time position (1.0 FTE)
  • a holiday allowance of 8% gross annual income
  • an 8.3% end-of-year bonus and participation in a pension scheme for employees.

The successful candidate will first be offered a temporary position of one year with the option of renewal for another three years. Prolongation of the contract is contingent on sufficient progress in the first year to indicate that successful completion of the PhD thesis within the next three years is to be expected. A PhD training program is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering.

The starting date is in consultation.

Information

For information you can contact:

Dr. Andreas Milias-Argeitis,   a.milias.argeitis@rug.nl

Apply here


Posted on March 25, 2023

PhD Student Position in Cancer Research (Bioinformatics)

We are looking for a PhD student who is interested in understanding how tumors can hide from the immune system. The project builds on previous work by us and by others which has shown that the MYC oncogene is critical for enabling tumor cells to evade eradication by the immune system. These findings suggest that targeting this function will lead to novel effective immune therapies, but the underlying mechanisms are incompletely understood. We have previously shown that MYC controls the metabolism of double-stranded RNA preventing activation of the innate immune system (Krenz et al, 2021, Cancer Research) and that MYC can form multimeric structures that prevent aberrant RNA structures and DNA damage (Solvie et al, 2022, Nature). The proposed project will combine wet-lab work and computational analysis to understand how MYC-dependent control of dsRNA metabolism enables immune escape and to identify ways to restore immune surveillance for novel cancer therapies.

The project will take part at the Biocenter in Würzburg in the department of Biochemistry and Molecular Biology that is headed by Martin Eilers. It is part of the Mildred Scheel Early Career Center (MSNZ) for Cancer Research (https://www.med.uni-wuerzburg.de/msnz/the-msnz/), which is funded by the German Cancer Aid. The center brings together life scientists and clinicians in multiple groups and a highly interactive and technology-driven research environment to understand the mechanisms of tumor formation and to develop new therapeutic strategies.

Our offer:

  • cutting-edge research in a established research group
  • excellent networking and collaboration opportunities at the Biocentre Würzburg and the MSNZ
  • enrolment in the Graduate School of Life Sciences with broad research and skills training
  • a fixed-term contract for 3 years with the option of an extension

Tasks:

  • Developing the bioinformatics/computational parts of the project, including analysis and visualization of RNA and RNA modifications
  • Combining wet-lab using state-of-the-art sequencing methods, immunofluorescence and gene editing with bioinformatical analysis
  • Presenting results at meetings and conferences

Apply if you have:

  • Excellent Master's degree in biology, biomedicine, biochemistry, computational biology, bioinformatics, or related discipline,
  • Fluency in written and spoken English
  • Prior knowledge of bioinformatics analysis (e.g., R, Python) is advantageous but not obligatory
  • Ability to work independently and collaboratively within a group

If you would like to know more about the project, please get in touch with Bastian Krenz (bastian.krenz@uni-wuerzburg.de) or Martin Eilers (martin.eilers@biozentrum.uni-wuerzburg.de).

Applications can be submitted until 30.04.2023.

Please send applications including a cover letter (with a statement of motivation), curriculum vitae, relevant degree certificates and academic transcripts as well as contact details of 2 independent references (one of the referees should be the Master's thesis supervisor) as a single PDF file via email to

sandra.stoudek@uni-wuerzburg.de

For details visit here


Fully Funded PhD Scholarship in Psychiatric Genomics

Applications are invited from suitably qualified candidates for a full-time funded PhD scholarship starting in September 2023 affiliated to the Centre for Neuroimaging, Cognition and Genomics in the School of Biological and Chemical Sciences at the University of Galway.

We now know about many of the biological and environmental factors that contribute to cognitive ability in the general population. However, we have gaps in our knowledge about how these factors interact and how they can be modelled to explain variance in cognitive ability. This is critical for improving treatment of schizophrenia, where deficits in cognitive ability are a core symptom and a strong predictor of long term psychosocial disability.

The overall aim of our SFI-funded research programme is to model how biological and environmental factors interact to explain variation in general cognitive ability and social and occupational outcomes in the UK Biobank (UKB) epidemiological sample of ~500,000 individuals. We will then test the capability of this model to predict these indices of psychosocial disability in schizophrenia patient samples using cross-sectional and longitudinal study designs.

The successful candidate will join a SFI-funded team that will include another PhD student (studying psychiatric neuroimaging) and a postdoctoral researcher (with experience of genomics and neuroimaging), supervised by co-leads Dr Derek Morris and Dr Dara Cannon. Dr Morris and Dr Cannon are principal investigators in Centre for Neuroimaging, Cognition and Genomics (NICOG) at University of Galway. NICOG brings together a mix of researchers at different career stages (postgraduate students through to professors) from a range of disciplines (genetics, neuroimaging, bioinformatics, biostatistics, psychology, psychiatry) who have shared interests in biological psychiatry and provide a rich environment for postgraduate study and research. This PhD will be an opportunity to learn about the genetic basis of common disorders and how genomics is being applied to understand the molecular mechanisms that contribute to illness.

Academic Entry Requirements: Minimum of a Bachelor of Science (2.1 or higher) in Genetics, Genomics, Biochemistry, Bioinformatics or a related discipline from the life sciences or data sciences. Masters level research experience is highly desirable.

To Apply for the Scholarship: Please send a letter of motivation and a current CV, indicating your research experience and including the names of two referees to Dr. Derek Morris via email to derek.morris@universityofgalway.ie. Informal enquiries to the same email are welcome.

Please include PHD GSO 016-23 in the subject line of all emails.

 

Contact Name: Dr Derek Morris

Contact Email: derek.morris@universityofgalway.ie

Application Deadline: 21st April 2023 at 17:00

For details visit here


Posted on March 21, 2023

PhD candidate in Bioinformatics Safety Assessment of Gene and Cell Therapy

The Faculty of Science and the Leiden Academic Centre for Drug Research are looking for a:
PhD candidate in Bioinformatics Safety Assessment of Gene and Cell Therapy

Vacancy number: 23-138

Key responsibilities 
Gene modification and cell therapy technologies are becoming major players for medical therapy development in the near future. Systematic and robust assessments of risks and quality of these medicinal products are the key steps enabling usage of such treatments. High-throughput sequencing methods with a single cell resolution offers the way of multidimensional evaluation of results of gene and cell intervention strategies. The PhD candidate will work on the development of a computational risk assessment platform of the most promising gene and cell therapies using cutting edge multiome single-cell sequencing method (single cell chromatin and transcriptomics), including building up a knowledge database by integrating public databases/datasets.

The candidate will be embedded in the research group of Prof. M. Drukker, focused on stem cells technologies in order to create novel models for human disease and drug development. The project will be carried out in close collaboration between the Prof. M. Drukker group and CBG-MEB. The CBG-MEB is the regulatory authority for medicines in the Netherlands and works in close collaboration with the EMA.

Selection criteria

•    A Master’s degree in bioinformatics, biostatistics or a related field;
•    Experience with sequencing data analysis, knowledge of common bioinformatics tools;
•    Proficiency in Python, in case of experience in another programming/scripting language willingness to learn Python;
•    Strong analytical skills, critical and lateral thinking;
•    Strong communication skills in the group and with collaborators;
•    Proficiency in English writing;

Our organizations
Working at the Faculty of Science means being part of an exciting, dynamic scientific environment which sets high standards for its students and staff. The research carried out at the Faculty of Science is diverse, ranging from computer science, mathematics, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences.
The faculty has grown strongly in recent years and now has more than 2,300 staff and over 5,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science.
The CBG-MEB is the regulatory authority for (approval of) medicines in the Netherlands, working in close collaboration with the EMA. Besides providing advice to companies on their development plans and assessing their applications for market authorization of medicines, CBG-MEB is keen on stimulating innovation in development of innovative therapies. CBG-MEB has more than 400 employees and is based in Utrecht. For more information, see https://www.cbg-meb.nl/.

Applications 
To apply for this vacancy, please send an email to Myrtille Koerselman (m.e.koerselman@lacdr.leidenuniv.nl).
Please ensure that you upload the following additional document quoting the vacancy number:
•    Cover letter
•    Curriculum vitae
•    Research Interests Statement (max a A4 page)
•    Transcripts of bachelor and master curriculum courses, including grades
•    Preferably 2 reference letters

Only applications received before 1 April can be considered.

Apply here


PhD position genomic epidemiology foodborne disease

Are you a researcher who is interested in combining microbial genomics and infectious disease epidemiology? Then this PhD position might be something for you! We are looking for someone who will further innovate and strengthen the utilization of genomics in order to improve the surveillance and outbreak investigation of foodborne diseases.

Department

You will be working within the Centre for Infectious Disease Control (CIb) of the RIVM which has the mission of detecting, combating and preventing infectious diseases for the benefit of public health in the Netherlands. In doing so, the CIb establishes a link between policy, implementation and science, as well as between various r disciplines in the human, animal and environmental health fields nationally and internationally. You will be collaborating with colleagues working in diagnostics, surveillance and risk assessment of foodborne diseases.. You will be appointed in the department of Gastro-Enteric infections and Zoonoses (GEZ) within the Center for Epidemiology and Surveillance (EPI) but you will work half of your time at the department of Bacterial and Parasitic Diagnostics (BPD) within the Centre for Infectious diseases Research, Diagnostics and laboratory Surveillance (IDS).

Research

The use of whole-genome-sequencing (WGS) in public health surveillance and outbreak investigation has taken a huge flight in recent years. Currently, WGS is applied routinely as the standard typing method for all  foodborne bacteria under surveillance. Among others, these include Salmonella, Campylobacter, Shiga toxin-producing Escherichia coli, Listeria, Shigella and Yersinia. Outbreak detection is performed with clustering algorithms using the WGS data. However, there is a strong need for enhanced data-driven insight in how to define clusters of patients, determine diversity of strains and types (incl. link to clinical outcomes and/or epidemiological characteristics) and the extent to which within host/farm short-term evolution occurs. This should lead to a more evidence-based framework for good practice genomic surveillance.

Tasks

  • Perform in-depth genomic analyses using existing data on foodborne pathogens.
  • Contribute to the development and implementation of improvements regarding genomic surveillance of foodborne pathogens.
  • Publish and share research results in scientific publications and conferences.

Unique for this position

You will work in a multidisciplinary team of researchers and will profit from their knowledge and experience. You will learn and contribute to joint efforts to further innovate and improve the utilization of WGS data for public health. The integration of genomics into infectious disease surveillance, epidemiology and research is increasingly important. This PhD project is an excellent steppingstone for a career in public health in the Netherlands and internationally. Furthermore, the analytical and research skills within this project are highly transferable to other fields.

For details click here


Posted on March 20, 2023

PhD scholarship in Clinical Bioinformatics

Are you interested in becoming a bioinformatics researcher working to improve the treatment and prognoses of colorectal cancer patients? Then this is the position for you. You will join the ongoing efforts of researchers at the Department of Health Technology at the Technical University of Denmark and the Center for Surgical Science (CSS) at the University Hospital Zealand in Køge. The overall aim of this project is to integrate phenotypic data from national population-wide registries with multi omics data generated to characterize colorectal cancer samples and ultimately predict postoperative recurrence of the disease.

Responsibilities and qualifications
The successful candidate will work on analyzing and integrating multiple data modalities, ranging from gene expression profiling, immunophenotyping using immunohistochemistry and flow cytometry, and mucosa-associated bacterial composition. You will apply existing tools or develop new methods if gaps in the repertoire are identified.

The following requirements must be met by the successful candidate:

  • Experience working with gene expression data
  • Strong programming skills

The following features are highly desirable, but not strictly required:

  • Experience working with cytometry data
  • Experience working with data analysis in R (the research group you will be joining works in R)
  • Experience working with cancer data

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.

Further information
Further information may be obtained from Ole Lund, e-mail: olund@dtu.dk.

Application procedure
Your complete online application must be submitted no later than 1 April 2023 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
  • Letters of recommendation (not mandatory)

Apply here


PhD student:  Drug Discovery / Bioinformatics & Automated Super-Resolution Microscopy (SRM)

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros.

The Fraunhofer branch »Translational Neuroinflammation and Automated Microscopy« TNM in Göttingen is part of the Fraunhofer Institute for Translational Medicine and Pharmacology ITMP.
The department »High Resolution and Automated Microscopy« focuses on the application and automation of super-resolution fluorescence microscopy techniques for drug discovery.

Modern super-resolution microscopy techniques such as STED microscopy allow us to analyze protein distributions on the nanometer scale. With this technology, previously unknown changes in the structure and protein clusters within patient cells can be investigated. Automatized image data acquisition allows the recording of large collections of microscopy image data under a multitude of conditions in drug discovery screens. The resulting data must be analyzed in a statistically robust manner in order to isolate relevant features that indicate changes in the pathological state of a disease.

What you will do

  • Create and extend our software to automatically and efficiently record model samples with super-resolution microscopes
  • Apply statistical analyses to quantify the differences between ordinary and pathological processes, with special emphasis on the use of machine learning, and identification of data features that can be used as meaningful quantitative measures in pharmaceutical research
  • Establish automated pipelines utilizing machine learning and statistical analysis algorithms to process previously collected high-throughput microscopy data
  • Compare and integrate existing pharmaceutical datasets with results obtained from automated microscopy
  • Day-to-day work in an interdisciplinary and international environment
  • Support for various interesting cooperation partners from industry and medicine

Due to our collaboration with the University of Göttingen, PhD students have the opportunity to participate in one of several PhD programs.

 

What you bring to the table

High motivation and a strong interest to work in applied research, the interface between mathematics, computer science medicine, and industry.
Further requirements for PhD students:

  • Master’s or equivalent degree in bioinformatics, computer science, mathematics, physics, or a related field
  • Strong programming skills (Python, Matlab, R etc.)
  • Experience with machine learning
  • A strong background in statistical analysis
  • Proficiency in English (written and spoken)
  • Your professional qualifications are completed by a quick comprehension, a structured and independent working style and a strong team spirit

Requisition Number: 62401

For details visit here


Posted on March 16, 2023

15 PhD student positions in Cancer Biology

CANBIO2, standing for doctoral training in “Cancer Biology 2, is the second edition of our competitive PhD training program, supported by the doctoral research funding scheme PRIDE of the Luxembourg National Research Fund(FNR). Focused on the multiple distinct facets of the tumour ecosystem, the scientific program comprises the following three aspects: (i) advanced cancer models, (ii) cancer metabolism and (iii) novel treatment strategies integrating various aspects of the tumour environment. CANBIO2 will make use of advanced high throughput technologies and apply systems biology approaches to unravel novel targets for treatment.

 

The role of the ecosystem in cancer growth and progression is increasingly recognized. This tumor ecosystem (TE) includes multiple factors within the local tumor microenvironment such as tumor-associated fibroblasts, endothelial cells, tumor-infiltrated immune cells, skewed nutrient supply, hypoxia, as well as more distant players such as systemic immunity, cytokines and the microbiome. Together these conditions shape a supportive tumor milieu fostering growth, progression and metastasis. To address this complex crosstalk and to eventually exploit it for novel therapeutic concepts, CANBIO2 sets out to train the next generation of cancer biologists and data scientists in a stimulating interdisciplinary environment.Individual projects will focus on a molecular, cellular and/or systems approach. Several projects require a data science background and will allow to develop advanced bioinformatics skills.

The program includes transferable skills training, support in career development, keynote lectures and annual PhD retreats. PhD candidates will conduct their research projects either at LIH (Department of Cancer Research, Department of Infection and Immunity) or at the University of Luxembourg (Luxembourg Centre for Systems Biomedicine, the Department of Life Sciences and Medicine, or the Department of Physics and Material Science). All PhD candidates will be enrolled at the University of Luxembourg in the Doctoral School in Science and Engineering of the University of Luxembourg for PhD studies in the discipline of Natural Sciences.

The earliest start date will be September 2023, after a comprehensive and competitive selection process starting in May 2023

Further positions can be filled over the next 24 months.

More information on CANBIO2 and the available positions/projects can be found here

Apply here


15 PhD positions in Life Science

The local collaboration of the Saarland University, the University Hospital in Homburg and the Helmholtz Institute for Pharmaceutical Research Saarland is aiming to get more insight into the human microbiota in health vs disease as a base to develop new drugs and therapies. The consortium comprises scientists from different fields, such as medicine, biology, pharmacy (natural products, medicinal chemistry, drug delivery) and bioinformatics. Our approaches are to sample and model the microbiota, exploit the microbiota for finding natural producers and modifying the microbiota with specific drugs (e.g. pathoblockers) or other treatments (e.g. probiotics). All available PhD projects are described on the TALENTS website.

The requirement of interdisciplinarity in our research is reflected by a team of two or three supervisors from diverse disciplines for each PhD student. Regular project meetings, intersectorial or international secondment and scientific and transferable skill courses contribute to a stimulating research environment and tailored training in professional skills.

Eligibility criteria

Candidates must have a master's degree (or equivalent) in a relevant life science field (e.g. pharmacy, biology, chemistry, bioinformatics) latest at the start of the contract. They must be First Stage Researchers (R1) and comply with the MSCA mobility rule (must not have spent more than 12 months in Germany in the past 3 years).

 

Application details

Application deadline: 15 May 2023 (20:00 CET)

Selected candidates will start their PhD between September 2023 and 01 January 2024.

Please visit our website and refer to our Guide for Applicants for a detailed list of application documents, selection process and criteria.

All applications must be submitted via our online submission portal accessible from the website.

Contact: Dr. Brigitta Loretz, talents@helmholtz-hips.de

For more information visit here


Posted on March 15, 2023

PhD in epigenetics and chromatin dynamics in human brain development

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 46 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

The Laboratory of Epigenetics and Chromatin Dynamics at the Department of Experimental Medical Science (Faculty of Medicine), is currently conducting research investigating the epigenetic regulation of repetitive and transposable genetic elements – so-called 'genomic dark matter' – in human brain development. The group consists of 5 research-active members and is led by Dr Christopher Douse. We are fascinated by how these underexplored regions of the human genome contribute functionally to human neurobiology and neurological disease. Our work integrates state-of-the-art wet and dry lab methods. More information can be found at Here. As a workplace, we safeguard a good work environment with respect and consideration in our relationships with each other.

Work duties and areas of responsibility

You will lead a project on the epigenetic regulation of transposable and repetitive elements by MORC ATPases and associated protein complexes. This will involve designing, executing and analysing loss- and gain-of-function experiments in stem cell models of human brain development. This is a long-term project aimed at discovering new basic human neurobiology, and thereby insights on the mechanistic underpinning of repeat-associated neurological disorders.

Qualifications

Requirements for employment are:

-A masters or equivalent education in molecular biology, biochemistry, genetics or similar topics

-Good, demonstrable knowledge of state-of-the-art methods of epigenome profiling (e.g. CUT&RUN, Nanopore sequencing) and/or methods to model human brain development (e.g. organoids, neural stem cell culture).

-Being a good team-player  with a strong interest in epigenetics and stem cell biology.

-Personal qualities such as curiosity, flexibility and a drive to discover new biology.

Additional qualifications for the position are:

-Excellent interpersonal skills and independence, and an ability and interest in collaborating.

-Experience in handling bioinformatic analyses of genomic methods (e.g. RNA-seq, CUT&RUN-seq)

-Knowledge of basic protein biochemistry (e.g. Western blotting) or imaging (immunofluorescent staining)

-An interest in repetitive and transposable elements.

Reference number PA2023/809

Last application date 04.Apr.2023 11:59 PM CEST

For details visit here


PhD student in cancer research/ Biomedical Sciences

The VIB-UGent Center for Medical Biotechnology (CMB) focuses on the development of new and innovative molecular tools and technologies to challenge human health problems. The Center translates its novel technologies and insights to widely applicable research tools, vaccines, diagnostics, and biopharmaceuticals. Our research pushes the boundaries of biomolecular and bioinformatics research and engineering technologies.

The lab of Translational Onco-genomics and Bioinformatics (TOBI, supervised by prof. dr. ir. Katleen De Preter) at the VIB-UGent Center for Medical Biotechnology (Department of Biomolecular Medicine, UGent) and the Pathology lab (supervised by prof. dr. Jo Van Dorpe and prof. dr. David Creytens) at the Department of Diagnostic Sciences (UGent) have an open position for a highly motivated biomedical researcher with expertise and interest in translational cancer research. Both labs are members of the Cancer Research Institute Ghent (CRIG).

More info on the Ph.D. project

Omics-based strategies ((epi-)genomics, transcriptomics, proteomics, …) are opening the unprecedented potential for developing novel precision oncology tools for improved diagnosis, prognosis, and therapy response prediction of cancer patients. Liquid biopsies are now offering great potential for the non-invasive exploration of circulating tumor nucleic acids and cells. Recently, our team has implemented DNA methylation sequencing on tumor tissue and liquid biopsy samples of cancer patients to allow improved diagnosis and classification of the tumor. The new Ph.D. student will further develop, optimize, implement, apply, and validate this novel approach (both on the analytical and bio-informatic side). The final aim of the project is to improve the diagnosis of adult cancer patients with an unknown primary tumor location.

Who we are looking for

  • You have a Master's in Science (Bioengineering, Biochemistry-Biotechnology, Biomedical Sciences, Medicine, or related).
  • You are eligible to apply for an FWO grant (check diploma requirements under “Profile and conditions” on https://www.fwo.be/en/fellowships-funding/phd-fellowships/phd-fellowship-fundamental-research/)
  • You have knowledge and insights into cancer biology and genomics.
  • Expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies, is a plus.
  • Some expertise in bioinformatics and data mining is a plus.
  • You have analytical problem-solving skills, and you are a team player, creative, critical, and open-minded.
  • You have excellent oral and written communication skills in English.

For more information about this vacancy, please contact Prof. Katleen De Preter (katleen.depreter@UGent.be). visit here


Posted on March 10, 2023

PhD position Artificial Intelligence in Tumor Immunology

The Department of Biomedicine of the University of Basel hosts over 70 different research groups and offers an international stimulating, dynamic and friendly atmosphere in an attractive city, rich in culture, located in the middle of Europe.

More information about our research can be obtained at: http://biomedizin.unibas.ch. Please use this link to upload your CV, a summary of your research experience, your scientific interests and contact details of two referees.

The tumor-immunology research group is seeking a highly motivated researcher for our team at the Department of Biomedicine (DBM) of the University Hospital in Basel/Switzerland. We are looking for a bioinformatician or computer scientist with a focus on AI to analyze high-throughput genomics and transcriptomics data emerging from our immunology studies and clinical trials (e.g. Schultheiß et al., Immunity, 2020; Stein et al., JAMA Oncology, 2022).

Your position

The successful candidate will analyze high throughput data from next-generation sequencing (including bulk and single-cell experiments). A repository of immunosequencing data will be used to detect disease-specific and anti-tumor immune signatures using machine learning. You will work in close collaboration with the DBM Bioinformatics Core Facility.

Your profile

  •  Highly motivated and creative
  • Master-, or equivalent degree in quantitative field such as artificial intelligence, computational biology, bioinformatics, physics or mathematics with strong interest in biology
  • Interest in the analysis of NGS data
  • Statistical knowledge and programming skills in R and Python
  • Fluent in English (speaking and writing)

We offer you

We offer you the opportunity to work with cutting-edge technologies and collaborate with renowned scientists in the field. If you are passionate about using AI to advance our understanding of immunology and tumor biology, and are excited about contributing to high-impact research that has the potential to improve cancer treatment, we encourage you to apply. You will be affiliated with the Department of Biomedicine and Swiss Institute of Bioinformatics and integrated into the local bioinformatics community.

Application / Contact

For further inquiries about the open position please contact: Prof. Mascha Binder, Head of Medical Oncology: Mascha.Binder@unibas.ch


PhD Candidate in Bioinformatics

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

About the job

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

The position is one of three PhD positions within the project Personalized treatment of small-cell lung cancer, which is an interdisciplinary project involving oncology, bioinformatics, and materials science. The overall aim of this project is to develop an affordable, cost-effective, and easily implemented diagnostic classification system for small-cell lung cancer (SCLC). This will enable us, among other things, to assess the extent of disease, predict treatment response and disease development including risk of brain metastases, and estimate time to relapse and survival time.

The PhD candidate will focus on bioinformatics analyses of genomic data from SCLC patients, including single omics (single cell transcriptomics, tumor DNA sequencing) and integrative multi-omics analyses to uncover associations with clinically relevant parameters. The position is available at the bioinformatics and gene regulation research group.

Duties of the position

The PhD candidate’s main responsibility will be bioinformatics analyses of high throughput genomics data from SCLC patients and patient-derived tissue models, but the position will also involve the following tasks:

  • Participate in developing and updating software tools for analysing and integrating data from single cell RNA sequencing and bulk RNA and DNA sequencing experiments.
  • Identify multi-omics signatures associated with SCLC patient outcomes.
  • Plan and do bioinformatics analyses to provide new insights into SCLC biology.
  • Use established best practices to ensure that project genomics data and analyses software are available and reusable.
  • Manage and curate project genomics data.
  • Interpret, present, and publish results.

Required selection criteria

  • You must have a professionally relevant background in bioinformatics, statistics, systems biology or equivalent education.
  • Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.
  • You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
  • Documented experience with data analysis in R, Python, or similar.
  • Good written and oral English language skills.

Application deadline: 15.03.23

For details visit here


Posted on March, 2023

PhD Candidate Rheumatology Data Science

The LUMC, situated in Leiden, the Netherlands, is an academic medical centre for patient care, research and education, aiming to meet the challenges of tomorrow’s health care. It has a strong focus on research, connecting and combining fundamental research into disease-causing mechanisms with patient-focussed studies in areas like oncology, regenerative medicine and population health. The LUMC has research facilities that include capabilities for multiple appliances. The combination with clinical and societal outreach programmes allows for ground-breaking research and innovation in basic and applied science.

The position

Have you graduated (university) in a data science study (e.g. bioinformatics, technical medicine, clinical technology, statistics, epidemiology, computer science or data science) or do you have demonstrable data science skills in addition to a medical study (such as medicine or public health management)? Are you motivated and committed to expanding your skills and making them clinically relevant? Then we would like to meet you!

 

The research aims at helping people with rheumatic autoimmune disorders and improving healthcare with your data mining and classification skills! Rheumatic diseases are (still) mostly incurable autoimmune diseases. They arise from a complex interaction between genetics and environment. If the diseases are recognized earlier and better classified, we can improve care and increase knowledge about underlying disease pathology. Our data science rheumatology group focuses on the following four research subjects:

-       Subgroup identification through high dimensional pattern recognition;

-       Developing eHealth tools to improve healthcare systems for rapid diagnosis and optimal medication selection;

-       Identification of causal factors in disease development (genetic and environmental factors);

-       Coordinating (federated) machine learning analyses within European partnerships working on applications of AI for (pre)clinical research.

 

For this we use high-throughput computational techniques on big data (electronic health records and genetics) for pattern recognition and classification. We have at our disposal a unique set of online acquired symptom questionnaires (>20,000 participants), electronic patient files (>25,000 patients), European non-public datasets and public databases with medical data, laboratory values and genetics.

Your profile

You have graduated (university) in a data science study (e.g. bioinformatics, technical medicine, clinical technology, statistics, epidemiology, computer science or data science) or have demonstrable data science skills in addition to a medical study (such as but not limited to medicine, and public health management);

-       Furthermore, you are motivated and committed to expanding your skills and making them clinically relevant;

       Finally you can strengthen our team in the areas of:

o  Unsupervised clustering and natural language profiling

o  Predictive algorithm development through supervised machine learning

o  Federated learning and manifold alignment

o  Genetics

o  Causal inference

Since we are searching for multiple candidates for different projects, we can tailor the PhD trajectory to your specific skills and interests.

What we offer

You will be employed on the basis of a 36-hour week. Appointment is for duration education, possibly to be extended. Your salary will depend on your qualifications and experience, with a maximum of €3.536,-  gross per month based on a 36-hour week (scale Pro, CAO UMC).

A detailed job description can be found at here. You may also contact Dr. R. Knevel – rheumatologist, Rheumatology department stafsecretariaatreumatologie@lumc.nl 071 526 34 23


Bioinformatics PhD position in leukemia biology and precision medicine

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.

The Department of Medical Sciences is a large clinical institution with more than 250 employees and over 900 additional coworkers connected via the Uppsala University Hospital. The Department of Medical Sciences has a broad research profile with strong research groups in a number of different areas. The research carried out at the department is performed in close connection with the clinical activities at the Uppsala University Hospital, which includes both basic studies on the causes of a variety of illnesses and the development and evaluation of improved diagnostics and new treatment methods.

Duties
We are looking for a PhD student with a bioinformatic-related background who wants to work in a translational and dynamic team consisting of basic and translational researchers, clinically active doctors and bioinformaticians. The doctoral project intends to characterize epigenetic changes at the whole genome level in cells from patients with acute leukemia using cutting edge methods and based on these analyzes develop new precision medicine tools in the treatment of patients with acute myeloid leukemia (AML). The epigenetic profile will also be related to changes in the cells' genome, transcriptome and proteome, as well as the cells' sensitivity to various antileukemic treatments.

Requirements
Applicants should have a degree in the fields of bioinformatics, statistics or mathematics, alternatively a biological degree but where the applicant acquired advanced bioinformatics knowledge during the education. Some experience in the analysis of genome-wide sequencing data is a requirement. We expect that applicants have the ability to drive the project with energy and enthusiasm and have the will and ability to assimilate new knowledge about different types of data and analysis tools. Applicants should be thorough and show good cooperation skills.

For further information about the position, please contact: Professor Sören Lehmann, Email: Soren.Lehmann@medsci.uu.se

For details click here


Posted on January 20, 2023

12 PhD positions Life sciences and Bioinformatics

MeInBio is a PhD research training group at the University of Freiburg and the Max Planck Institute of Immunobiology and Epigenetics Freiburg. Funded by the German Research Foundation (DFG), MeInBio aims at a dual education in bioinformatics and wet laboratory approaches to explore the spatio-temporal dynamics of gene regulation using high-throughput and high-resolution methods.

We are looking for junior researchers with expertise either in the life sciences (molecular biology and genetics, cell biology, molecular medicine, biochemistry), or in bioinformatics (all fields). Our dual education profile requires a strong interest for training in the respective other field.

We offer:

    • exciting modern research projects in well-equipped laboratories using state-of-the-art technologies (stem, cancer and bacterial cells, single cell and high-throughput sequencing, high-resolution imaging, bioinformatics); details of the projects can be found at www.meinbio.uni-freiburg.de/projects
    • tandems between wet laboratory and bioinformatics groups for mutual exchange and low-threshold interdisciplinary communication
    • different model organisms for conceptual learning and scientific exchange
    • professional and efficient supervision secured by a thesis advisory committee
    • regular courses in bioinformatics and wet laboratory techniques
    • additional “soft skills” courses and gatherings of all research training group members for scientific exchange

 

Responsibilities:

  • you will pursue your PhD in one of the research projects as described on www.meinbio.uni-freiburg.de/projects
  • this will include experimental work in the lab and bioinformatics analysis – the proportion of each depends on the chosen research project
  • you will further attend tranings and courses, as well as gatherings of the research training group members

Candidates should:

  • have an excellent recent university degree in one of the fields mentioned above
  • be passionate about science and highly motivated
  • have a strong affection to acquire both, biological and informatics knowledge
  • be willing to actively participate in gatherings and other activities of the research training group
  • be fluent in written and spoken English

The positions are funded for three years.

For further information on the curriculum, the individual research groups, as well as the application procedure please refer to www.meinbio.uni-freiburg.de. Only applications made through the SGBM application portal as described on the MeInBio web site will be considered.

Apply now!


Posted on January 15, 2023

30 PhD positions in Biophysics, Molecular biology, Cell biology, Bioinformatics and Machine learning

The largest federal funding body of Germany (DFG) has established the Collaborative Research Center (CRC 1551) on “Polymer Concepts in Cellular Functions” in Mainz, starting January 2023. The Center is intended to run for 12 years in three funding phases, with a budget of ~ 12 Mio Euros for the first funding phase. The participating scientists will investigate the polymeric nature of DNA, RNA and proteins and analyze how the polymeric properties as well as the dynamic interactions of these biomolecules govern cellular function.
This CRC is a collaboration between the following institutions and their respective graduate schools:

The network features an Integrated Research Training group (IRTG), a structured PhD program at the interface of polymer and life sciences (https://crc1551.com/portfolio-item/irtg/)
We are looking for ~30 PhD students and Postdocs interested in the interface between polymer science and life science to form the core of this new network. Topics range from DNA–protein assemblies in chromatin topology, regulation of transcription and RNA–protein complexes in splicing, translation regulation and small-RNA pathways to biomacromolecular phase separation as well as polymer science from a synthetic, theory and modeling perspective. We will also study the multifaceted functions that proteins can perform as single molecules or as nanoscopic and large ensembles, and how the perturbation of polymeric interactions can lead to cellular malfunctions and disease.
The network unites molecular biologists, cell biologists, biophysicists and clinicians with expertise in cellular disease models as well as specialists in macromolecular chemistry, physical chemistry and polymer analysis with researchers that have theoretical expertise in multi-scale modelling, polymer theory, bioinformatics, data science and machine learning.

For details click here


PhD Scholarship in CRISPR-mediated Gene Editing Combined with Proteomics

The Centre for Exo-Adapt invites applications from outstanding candidates who are interested in joining our team as a PhD fellow. The PhD fellow will be affiliated with the Jens S. Andersen group at the Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense. The position is available for three years from May 2023 or as soon as possible thereafter. Application deadline: 1 April 2023.

Exo-Adapt
The Centre for Exo-Adapt is a collaborative project supported by a grant from the Novo Nordisk Foundation Challenge Programme. The Exo-Adapt initiative aims to study the function, structure, regulation, and targeting of nuclear exosome adaptor complexes with a role in RNA degradation using a combination of genomics, proteomics, and cryo-electron microscopy approaches.

The project involves the following PIs:

  • Torben Heick Jensen (coordinator), Department of Molecular Biology and Genetics, University of Aarhus, Denmark
  • Elena Conti, Max Planck Institute of Biochemistry, Munich, Germany
  • Jens S. Andersen, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark.

Research Project and Role
As a PhD fellow in Exo-Adapt you will be involved in highly ambitious and interdisciplinary projects covering functional and structural studies of protein-RNA complexes using for example CRISPR-mediated gene editing for tagging op proteins for protein-protein interaction and protein proximity labelling analysis, fluorescence microscopy, and PTM analysis by mass spectrometry-based proteomics, and characterization of RNA substrates by RNA sequencing and bioinformatic approaches.

For further information please contact Professor Jens S. Andersen, e-mail: jens.andersen@bmb.sdu.dk.

For details click here


Posted on January, 2023

Marie Curie PhD fellowship in NAD and Aging (DNA damage)

Our group and research
Our group ( approx. 15 people) utilizes computational science, animal models, and clinical trials to understand and manipulate the aging process with a particular focus on the role of DNA damage in aging. We develop and utilize high-throughput approaches such as high-content microscopy and omics investigations to understand the molecular basis of aging and age-associated phenotypes. Lab generated data is routinely analysed through AI-assisted pipelines such as novel cellular senescence classifiers and fully automated animal tracking

Project description
DNA damage accumulates with age and may contribute to age-associated diseases. A major DNA damage responsive enzyme is poly-ADP-ribose polymerase 1 (PARP1). Activation of PARP1 may contribute to decline of NAD with age however it is unclear how PARP activation can contribute with this in a steady state system. This PhD project will focus on understanding how DNA damage might impact systemic changes in NAD levels across tissues, a critical point for our ability to treat age-associated diseases.

This project is funded through the EU-Horizon NADis Marie Skłodowska-Curie Network (grant agreement #101073251) and the chosen candidate will become part of a larger network of researchers across top universities in Europe. NADIS is a MSCA Doctoral Network.

Application deadline: Tuesday, December 6, 2022, at 23.59 p.m. CET.

Apply here


Three PhD positions in Materials Chemistry, Peptide Chemistry, and Computational Chemistry

Polytechnic University of Catalonia (https://www.upc.edu/en), located in Barcelona (Spain), and University of Milan (https://www.unimi.it/en), located in Milan (Italy), are looking for talented, enthusiastic young scientists who are highly motivated to boost their research career in the areas of nanotechnology, nanoscaffolds and peptide-based nanomaterials.

The successful candidates will be part of an emerging project carried out with the funding of Marie Skłodowska-Curie Doctoral Networks HORIZON-MSCA-DN-2021 project called NanoReMedi (Functional Nano-Scaffolds for Regenerative Medicine https://www.nanoremedi.eu/). Repair or replacement of tissue and organ functions lost due to age, disease or damage represents one of the most urgent medical needs of our aging society. The NanoReMedi consortium will contribute to addressing this fundamentally important issue by using a new and efficient scientific approach relying on the design, preparation, characterization and validation of conceptually innovative peptide-based functional nanomaterials for regenerative medicine applications.

NanoReMedi stems from six Doctoral Courses/Schools at six beneficiary institutions, providing research and training in the field of nanomaterials for Regenerative Medicine. An active contribution of enterprises in training activities is a relevant feature of the programme. At the end of the project a join doctoral degree will be obtained.

  • Position 1 (ESR06): Desirable some computational experience that includes working a range of biological and/or material simulation methods such as the molecular dynamics or the density functional approach, as well as experience with peptide materials and proteins. Also, some knowledge on scripting and programming is desired, but not mandatory.

Specific Requirements: Master Degree or equivalent in Computational Chemistry/ Computational biology/ Chemistry/Physics/Biochemistry

  • Position 2 (ESR13): Desirable synthetic experience that includes working a range of chemical synthesis methods, as well as experience with polymers and peptide materials, including self-assembled polymers. Also, some knowledge on molecular characterization, such as NMR, UV-Vis-NIR, micro-Raman and FTIR, XPS and/or chromatography, as well as materials properties (i.e. rheology, particle sizing – DLS, TEM, SEM and AFM, electrospinning) is desired, but not mandatory.

Specific Requirements: Master Degree or equivalent in Chemistry/Pharmaceutical Chemistry/Biotechnology/Material Sciences

  • Position 3 (ESR4): Desirable synthetic experience that includes in solution and solid phase peptide synthesis, as well as experience with polymers and peptide materials, including self-assembled polymers. Also, some knowledge on molecular characterization, such as NMR, UV-Vis-NIR, micro-Raman and FTIR, XPS and/or chromatography, as well as materials properties (i.e. rheology, particle sizing – DLS, TEM, SEM and AFM) is desired, but not mandatory.

Specific Requirements: Master Degree or equivalent in Chemistry/Pharmaceutical Chemistry/Biotechnology/Material Sciences

Applications must be submitted on https://www.nanoremedi.eu/submit-application/ from November 28th, 2022 at 17:00 central European time (http://www.timeanddate.com/time/zones/cet) to December 31st 2022 at 17:00 central European time.

Applicants are required to submit the following documents by uploading them as a PDF file along with (or as one PDF attachment to) the application form. Instructions on submission are provided on https://www.nanoremedi.eu/download-documents/. For more information you may also contact nanoremedi@nanoremedi.eu

For details visit here


Posted on November 24, 2022

CRUK 4 Year PhD Studentships (Biomedical Research)

We are pleased to announce the following exciting postgraduate opportunities at the CRUK Manchester Institute for 4 year fully funded PhD Studentships

We welcome applications from enthusiastic and ambitious candidates with a strong academic track record to our PhD programme.  Applicants should hold or expect to graduate with a First or minimum upper-second class undergraduate honours degree (or equivalent from a non-UK university) in a relevant subject and Masters-level and/or other laboratory research experience in cancer.   Laboratory research experience as part of, or outside of a university degree course or a Master-level degree in a relevant subject is advantageous but is not a conditional requirement in making an application.
The Cancer Research UK Manchester Institute is proud to be a diverse, open and global Institute.  Our priority, and that of the University of Manchester, is to support our current students and welcome new ones from Europe and other continents, we therefore encourage students of all nationalities to apply for the programme.
Cancer Inflammation and Immunity Research Group
Leukaemia Biology Research Group

NIHR Manchester Biomedical Research Centre funded 4 year PhD Studentships - September 2023

Systems Oncology Research Group
Principle Investigator: Dominic Rothwell, Simon Pearce,Caroline Dive(Lab), Natalie Cook & Alicia Conway (clinical)
Nucleic Acid Biomarkers Team, Cancer Biomarker Centre
All applications will be considered equally irrespective of ethnicity, disability, sexual orientation, gender, religion/belief, age and nationality.  To help us monitor equality, diversity and inclusion within the Institute, you will be asked to complete and submit an EDI monitoring form during the application process.  Equal opportunities information will not be shared and will not form any part of the selection process or divulged to members of the selection, recruiting or interview panels.
Successful applicants will receive a non-taxable annual stipend (living allowance) of £21,000 GBP per annum, fully funded bench and tuition fees (home and international) for 4 years.  This applies to the CRUK funded and NIHR Manchester Biomedical Research Centre studentships.  Registration and graduation will be affiliated to the University of Manchester, UK.
The CRUK Manchester Institute is currently located over two sites at the Oglesby Cancer Research Building, Manchester Cancer Research Centre and our temporary site at Alderley Park, Cheshire until our new research facilities are re-established on our former site in Withington, South Manchester next to the The Christie NHS Foundation Trust.  The rebuilding of our world-class Paterson research facilities is well underway, and we anticipate returning to our original site in Withington, Manchester in 2023.

4 Year PhD Studentship – Weizmann Institute of Science/CRUK Manchester Institute, University of Manchester

“The interplay between the intratumoural microbiome, the type of cancer inflammation and the response to immunotherapy”

Dr Santiago Zelenay, CRUK Manchester Institute, UK & Dr Ravid Straussman, Weizmann Institute, Israel

We are pleased to announce this exciting new PhD opportunity at the Cancer Research UK Manchester Institute and the Weizmann Institute, Israel.

Immunotherapies hold great potential for improving cancer patient outcomes. However, we do not fully understand why some patients respond to therapy while others do not. We know that inflammation can both speed up and slow down tumour progression and can both promote and limit the response to immunotherapy. Different types of intratumoural inflammatory responses occur, but the instructive signals that dictate the ‘flavour’ of inflammation within the tumour bed are poorly defined. Dr Santiago Zelenay’s (CRUK Manchester Institute, University of Manchester) and Dr Ravid Straussman (Weizmann Institute) propose to tackle this central gap in knowledge building on recent ground-breaking work from their teams. Within this framework, the main aim of this PhD project will be to investigate the interplay between the intratumoural inflammatory response and the tumour microbiome with the overarching goal of providing new insights into the principles that dictate immunotherapy outcomes. The successful candidate will undertake this 4-year research project by combining the expertise established in the Zelenay & Straussman research groups at the CRUK Manchester Institute, UK and the Weizmann Institute, Israel.

Registration and graduation will be affiliated to the University of Manchester.

For further information on the Weizmann Institute of Science PhD Studentships please see here

For further project details, entry criteria and information please click here

Entry: September 2023

Application Deadline: 23 January 2023

Apply here


Posted on November 23, 2022

An extensive resource for Bioinformatics, Epigenomics, Genomics and Metagenomics