672 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs in Germany
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Design and use of data spaces and digital twins for materials and autonomous material laboratories Use of deep learning methods to connect theory, simulation, and experiments Integration of high throughput
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tools like ViennaRNA and NUPACK) and MD simulations (e.g., with GROMACS). Strong skills in statistical data analysis and machine learning in Python and R are expected, along with experience working in
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strong AI focus; a PhD is desirable, but not mandatory Advanced knowledge of machine learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
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Graduate College Global Intellectual History, both in collaboration with Humboldt-Universität zu Berlin). For further activities in the field of global history, see https://www.geschkult.fu-berlin.de/e/fmi
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individual career development. More information about the group is available at https://www.ep.mgt.tum.de/en/gia/home. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
lives. The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological
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to co-authored publications. You will work along a structured project plan with clear milestones for each semester. As part of the doctoral studies at TUM Graduate Center (LINK), you will learn
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at the interface of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim
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University Hannover at: https://berufungen.uni-hannover.de Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis