664 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs in Germany
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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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04.03.2026, Academic staff The Professorship for Learning Analytics (LEAPS) at the TUM School of Social Sciences and Technology, Technical University of Munich, is seeking a Research Associate
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Europe", we are looking for a doctoral researcher (m/f/x) on the theme of migration, time and urban inqualities with a focus on labour (for details see https://www.migrationtime.eu ). The research will be
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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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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determination, computer-aided calculation and modeling of the thermophysical substance values of fluids is a fundamental-oriented research focus at the Professorship of Thermodynamics. In this context, devices
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colleagues and for sporting activities alongside work Flexible working hours and appropriate remuneration In addition to exciting tasks and a collegial working environment, we offer you much more: https
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like knowledge graphs, information extraction, machine learning or artificial intelligence in the context of scholarly data Publication of research and project results Your profile: Scientific University
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performance criteria. Interested? We look forward to your application! Please upload your CV and motivation letter by February 28th, 2026 via our online application system: https://www.leibniz-inm.de
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to vpajob at tu-dresden.de or to: TU Dresden, Chair of Traffic Process Automation