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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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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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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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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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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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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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Python/Java/C++ be proficient in written and spoken English be able to work in a team We offer: Working in a team of enthusiastic scientists who work to push the boundaries of knowledge in the field in
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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