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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=29009 Data Scientist/Computational Scientist – Multimodal and Multi-Agent AI for Precision Oncology (m
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proteins Do ligand docking and pocket design Design and filter in silico libraries at scale Write strong Python and are comfortable with structural-biology tooling Can own a design campaign end to end, and
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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applications for a project scientist (post-doc) position at the GeoHydrodynamics and Environment Research group (GHER, https://www.gher.uliege.be ) of the University of Liège in Belgium. The candidate will work
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collection procedures. Data Processing Execute and monitor established data workflows, including running existing Python, R, SQL, and other automated scripts that support recurring data projects. Process
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additional years Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8079-TATGIR-024/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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research on perovskites and/or organic semiconductors Demonstrated experience in global and deconvoluted data fitting, programming in Python and Matlab, as well as electronic structure modeling Intercultural
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related to modeling and simulation of biological systems, 3) very good IT skills, in particular the ability to program in Python, 4) very good knowledge of machine learning methods, neural networks, and
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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education