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of Tübingen and part of the Developmental Computational Psychiatry research group, which is located both at Tübingen and the Max Planck UCL Centre for Computational Psychiatry and Ageing Research in London. You
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to participate in experimental campaigns; a secondment of around 3 months in Chile is planned Basic to good programming skills for data analysis and image processing (e.g., MATLAB, Python) Good written
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model fitting (e.g., Python, MATLAB) Good written and spoken English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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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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chemistry is highly desirable excellent problem-solving skills and analytical thinking proficiency in programming (e.g., Python) is an advantage good communication skills and the ability to work in a
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of Python German language skills Required Documents CV Certificates Transcripts Application https://stellen.uni-kassel.de/jobposting/43adda426450194ce164d3ac1c9f5f98f49464dd0 https://www.uni-kassel.de/fb10
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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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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results
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international secondments Excellent written and spoken English skills Experience in magnetic field measurements, ultrasound techniques, X-Ray radioscopy helpful Programming experience in Python helpful Our offer