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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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, RNA biology, and stem cell research Bioinformatics experience, e.g. R, preferred High motivation, curiosity, and the ability to work independently and in a team as well as good communication skills in
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: economic sociology, historical sociology, (historical) political economy, historical social science, computational sociology - advanced skill in quantitative, statistical methods (R, stata, Python), ideally
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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biology methods (e.g. PCR, NGS, cell culture) and/or functional cell assays Interest in translational leukemia research and innovative omics technologies Bioinformatics experience, e.g. R, preferred We
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extraction, sequencing library preparation, Hi-C, ATAC-seq etc.) Experience with bioinformatic analysis of large sequencing data sets Strong statistical skills using R Desirable: Experience with assembly
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) Familiarity with using R and/or Python for answering biological questions (desired) WE OFFER: An international, multidisciplinary, and creative working environment Innovative technologies Excellent
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
Job Offer from June 24, 2025 The Max Planck Institute for Physics invites applications for Postdoctoral position(s) focused on R&D in connection with the Axion Dark Matter search experiment MADMAX