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systems and networks is beneficial and complements your technical profile. Programming skills: You have at least scripting experience, for example in Python or comparable programming languages. Language
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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beneficial Experience in working with mouse models Advanced programming skills in Python are beneficial Strong motivation and ability to work both independently and collaboratively as a member of
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possible. Applicant Profile Applicants should have a university degree in physics, physical chemistry, or biophysics (or near completion). Experience with computational science, programming (C/C++ or Python
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good programming skills (Python or C++) good English skills (spoken and written) interest and enthusiasm for scientific issues good communication skills independent, autonomous and committed way
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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meteorology, physics, geosciences or related field excellent programming skills (preferably in FORTRAN or Python) interest in interdisciplinary climate and coastal research We offer you an exciting and varied
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Programming skills (e.g., Python, R, C/C++) Knowledge of workflow management systems (e.g., Snakemake) is beneficial High motivation for scientific work and willingness to contribute to an interdisciplinary