827 professor-computer "https:" "https:" "https:" "https:" "https:" "U.S" "St" uni jobs in Germany
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be funded? Tutorised university accompanying courses in linguistics, grammar, computer science, marketing, law, etc. (5 months) at Bochum Duration of the funding 1 September until 31 January Value
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applications for the position of Professor (W3) for effective teaching and learning in subject didactics (f/m/d) to commence as soon as possible. The professorship is intended to advance internationally visible
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academic / professional and personal reasons for the choice of degree programme and for wishing to participate in the programme A current reference letter by a university professor that contains information
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CSS-117 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS
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The Faculty of Sciences at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for a Full Professor of Exogenic Geodynamics (salary group W3) at the Department of Geography
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(KOSPIE) in cooperation with the Argentine Ministry of Education (ALEARG) Ministerio de Educación Presidencia de la Nación Buenos Aires / Argentina https://www.argentina.gob.ar/educacion
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile First Stage Researcher (R1
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practical way. Ideally, you bring: A completed university degree (Master’s degree or equivalent) in data science, information engineering, computer science, or a related field; a doctorate is welcome but not
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with the University of Hohenheim and Senckenberg - Leibniz Institution for Biodiversity and Earth System Research (https://www.terra-cluster.org ). TERRA will develop an integrated understanding of how
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1