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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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analysis and multi-omics data integration workflows using Python/R Integrate digital pathology data with omics data (e.g., MS-based proteomics, spatial proteomics) Develop and drive independent project ideas
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systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus Proficiency in Python, Linux, and HPC environments Experience working with
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 9 days ago
performing preclinical fMRI or fUSI studies, including data analysis, rodent handling, surgery and behavioral experiments. Strong programming skills (e.g., Matlab, Python) are required. Additional knowledge
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, biomedical informatics, or a related quantitative field; outstanding candidates at either level are encouraged to apply Strong programming skills, especially in Python; experience with TypeScript/JavaScript
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 hour ago
in particular good command of the English language. Programming skills: Python, MATLAB, Wolfram Mathematica, EPICS etc. In addition, experience in the following areas is advantageous: Experience with X
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, bioinformatics, systems biology, computer science or related field Strong proficiency in Python and/ or R Experience in single cell omics analysis and multiomics data interpretation Abilitity to work independently
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, or willingness to acquire these skills) and have experience in archival research and/or (2) experience in computational methods of text mining, analysis, and visualization (e.g. Python) or analysis of biodiversity
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. Experience with data analysis using language models is beneficial. Experience in the usage and configuration of Linux-based systems. Very good programming skills in Python. Knowledge of another programming
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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English