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areas above) and their grades. Strong programming skills (i.e., Python and main Machine Learning frameworks such as Pytorch). Experience with scientific writing (e.g., reports, theses, and scientific
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You have an experience in scientific programming using Python for data analysis You can integrate easily in an interdisciplinary research team and have great communication skills Additional Information
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, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments and quasi - experiments are an added value Strong interest to work in
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(target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel
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or soon to be finished Background in protein design, computational biology or related field Working knowledge in at least one relevant coding language (Python, R, or C++) Excellent communication skills and
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Science, Public Policy, Environmental, Food and Agricultural Economics, or similar Proficient knowledge of and previous experience with R and Python, survey design, experimental design, field experiments
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Desirable: Experience with NMR spectroscopy and/or single-molecule fluorescence techniques Programming/data analysis skills (e.g., Python, MATLAB) Previous research experience in structural biology or protein
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single, comprehensive model Independent, solution-oriented working style and interest in experimental research Strong programming skills, particularly in Python Additional Information Benefits We offer Our
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analytical and quantitative skills, including proficiency in statistical software (e.g., Python, R). Demonstrated interest in climate change, sustainable finance, and corporate sustainability. Strong written
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skills in MATLAB and/or Python Interest in interdisciplinary research at the interface of physics, engineering, and life sciences Independent, creative, and motivated personality with excellent