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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 sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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programming skills in Python and experience in developing and documenting reproducible research code (e.g. using PyTorch or comparable frameworks). Practical experience with AI-assisted development and coding
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publications Excellent command of English Strong proficiency in programming languages such as Python, MATLAB, or R Demonstrated methodological expertise in advanced EEG and/or fMRI methods, evidenced by
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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, experience with Linux shell-based bioinformatics tools, and basic programming skills (e.g. Python) are essential. Experience with metabolome analyses and natural product biosyntheses will be a plus. The DSMZ
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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with handling and harmonizing large and variable datasets, statistical analysis, species/ habitat distribution modelling, use of R/Python, GIS, preferably open source GIS (e.g. QGIS, GRASS). Essential is
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling