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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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, Go, Rust, Java, or R is a plus Solid experience with Linux-based development, Git, testing, debugging, and modern software engineering practices Familiarity with APIs, structured data formats
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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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data (e.g., R). Additional Information Additional comments Apply through the RUB homepage: https://jobs.ruhr-uni-bochum.de/jobposting/9fca0a647b54e61a9b366628a2c4634422316617?ref=homepage Deadline: 25th
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language (e.g. JavaScript, R or C++) is beneficial. Willingness to work in an international team of researchers. Participation in the ongoing development of PRIF’s research agenda. Willingness to present
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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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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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, or similar) and script-based programming (R, Python, or similar) willingness to travel to scientific conferences and workshops and visits to cooperation partners We expect: the ability to work independently