Requirement: Skills in Bioinformatics, Programming, Statistics and in Machine Learning techniques, Translational Research Requirement: Skills in Bioinformatics, Programming, Statistics and in Machine Learning techniques, Translational Research Requirement: Skills in Functional Genomics, Molecular Biology, Biochemistry or Bioinformatics Requirement: skills in stem cell culture, CRISPR/Cas9 and/or omics approaches Requirement: Skills in Bioinformatics and interest in Evolution, Microbiology and Plant Biology Requirement: Skills in Bioinformatics, Genetics, GWAS, PGAS, Translational & Clinical Neuroscience Requirement: ideally some experience and interest in mammalian cell biology (e.g., Western blotting, immunoprecipitation, Immunofluorescence) OR proteomics/interactomics Requirement: Knowledge of molecular biology methods, enzymology knowledge, statistical analysis and interest in microscopy methods. Requirement: Skills in Molecular Biology, Biochemistry, Genetics or Bioinformatics Requirement: bioinformatic and statistical skills: population genetics/genomics, quantitative genetics, RNAseq, ATACseq, integration of multi-omics data; willingness to get involved in data generation (wet lab) is a plus Requirement: Skills in Molecular and Cell Biology, Data Analysis, Experience in NGS Techniques Requirement: single cell skills in bioinformatics, cell biology or genetics Requirement: Skills in Molecular and Cell Biology, BiochemistryFaculty members recruiting PhD students in 2023
This is an overview about the faculty offering PhD positions (fully funded) for starting the PhD in 2023. Information on the application process can be found here. On February 10, 2023 application will be closed. Please click on the project or on faculty member to receive more information. You can find the full list of IMPRS-GS faculty here. All faculty members may be potential supervisors for a PhD within the IMPRS-GS, when you have your own and already secured funding.
Michael Altenbuchinger
University Medical School -
Medical BioinformaticsFederated Learning Methods for Lymphoma Pathology
Project description
Tim Beissbarth
University Medical School -
Medical BioinformaticsBioinformatic Research in precise medicine
Project description
Patrick Cramer - Michael Lidschreiber
Max Planck Institute for Multidisciplinary Sciences -
Department of Molecular BiologyGenome transcription and regulation
Project description
Lukas Cyganek
University Medical School -
Stem Cell Unit / Cardiology and PneumologyDisease modeling and testing of personalized CRISPR therapies in human iPSCs
Project description
Jan de Vries
University of Göttingen -
Department of BioinformaticsStreptophyte Evolution
Project description
Hannelore Ehrenreich
Max Planck Institute for Multidisciplinary Sciences -
Clinical NeurosciencePhenotype-based Genetic Associations
Project description
Sonja Lorenz
Max Planck Institute for Multidisciplinary Sciences -
Research Group Ubiquitin Signaling Specificitytitle
Project description
Gražvydas Lukinavičius
Max Planck Institute for Multidisciplinary Sciences -
Research Group Chromatin Labeling and ImagingHighly specific enzymatic labeling of nucleic acids
Project description
Marieke Oudelaar
Max Planck Institute for Multidisciplinary Sciences -
Lise Meitner Group Genome Organization and RegulationGene regulation and genome organization
Project description
Nico Posnien
Goettingen University -
Emmy-Noether Group Leader, Developmental BiologyEvolution of developmental gene regulatory networks
Project description
Jochen Rink
Max Planck Institute for Multidisciplinary Sciences -
Tissue Dynamics and RegenerationThe gene regulatory dimension of planarian regeneration
Project description
Melina Schuh
Max Planck Institute for Multidisciplinary Sciences -
Dept. of MeiosisGenome organization in meiosis
Project description
Johannes Söding, Peter Lenart, Marieke Oudelaar
Max Planck Institute for Multidisciplinary Sciences -
joint project of different groupsHarnessing innate immunity for a novel approach to cancer therapy
Project description