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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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/ X-ray crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or
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close collaboration with industry, experimentalists and an international, multidisciplinary research team is essential. Experience in ALD and simulation techniques is desirable. Knowledge of English (oral
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scientific writing skills and publication experience Excellent English skills; knowledge of German or French is an asset We offer An international, multidisciplinary, and highly stimulating working environment
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essential. Experience in ALD and simulation techniques is desirable. Knowledge of English (oral and written) ist required and knowledge of German or French would be an advantge. Our offer The Laboratory
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Material Science and Engineering, Mechanical Engineering, Physics or Chemistry Knowledge and experience in direct ink writing technology, thermoelectric and ceramic materials, powder technologies, and
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chemistry Ideally with expertise in bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be
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Advanced programming skills in Python, with deep experience in libraries such as PyTorch, Pyomo, and the broader scientific stack (Xarray, Pandas). Knowledge of MATLAB is desired but not a requirement A
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related