655 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs in Germany
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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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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | about 2 months ago
to develop the research of the position holder into adjacent areas such as computer science, artificial intelligence, or machine learning. Existing or planned involvement in at least one of these areas until
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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
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 23 hours ago
of the science location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice
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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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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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found here: https://uni-tuebingen.de/en/research/core-research/cluster-of-excellence-human-origins/
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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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and experience or willingness to learn methods, in particular the morphological, chemical, and microbiological characterization of plant samples Very good knowledge of statistical data analysis and data