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11.08.2025, Professuren The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in »Management of Small and Medium-sized Enterprises
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since completion of a doctoral degree) with an excellent track record in research, demonstrated by at least one publication in a recognized international peer-reviewed journal. We are particularly looking
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11.07.2025, Professuren The Technical University of Munich (TUM) invites applications for the position of Tenure Track Assistant Professor in » Engineering Immune Cells for Therapy « to begin as
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for one: Senior Scientist (m/f/d) in the field of Social Anthropology as Max Planck Research Group Leader (W2 level, tenure track) Background The Department ‘Anthropology of Politics and Governance
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Biotechnology at the Ruhr-Universität Bochum invites applications for the position of a JUNIOR PROFESSOR W1 WITH TENURE TRACK W2 (M/F/D) IN MEMBRANE BIOLOGY commencing as soon as possible. The holder
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Biotechnology at the Ruhr-Universität Bochum invites applications for the position of a JUNIOR PROFESSOR W1 WITH TENURE TRACK W2 (M/F/D) IN BIOLOGY OF MICROORGANISMS commencing as soon as possible. The holder
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 3 months ago
(W2 level, tenure track) Background The Department ‘Anthropology of Politics and Governance’ provides a stimulating environment for cutting-edge anthropological research and the training of research
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21.07.2025 Application deadline: 10.09.2025 The Faculty of Humanities at the University of Tübingen invites applications for the position of a Tenure-Track Professor of Art History (Early Modern) (m
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Menopausal Women” with full-time employment for a duration of 3 years, starting in February 2026. Objective of the project: BrainAGE is a machine learning-based biomarker that estimates biological brain age
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
between process parameters and material properties will be developed and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material