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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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, 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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, 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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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R, BLAST) Fluent both in written and spoken English language We offer Goal-oriented, individual training and development opportunities
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
obtained before the employment start date; Experience in conducting high-quality quantitative research, with a strong command of statistical analysis of survey data, statistical programming (R/Stata), and
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) Experience in cellular and molecular biology, including histology and cell culture (required) Familiarity with using R and/or Python for answering biological questions (required) An enthusiastic and friendly
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will