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For its Entomology Information Center at the Senckenberg German Entomological Institute (SDEI) in Müncheberg, the Senckenberg Gesellschaft für Naturforschung headquartered in Frankfurt is seeking
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(m/f/d) in the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is
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International Max Planck Research School for Molecules of Life (IMPRS-ML) | Germany | about 2 months ago
the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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and distinctions Freunde und Förderer History of the University Organisation and management Back University Management Senat University Council Kommissionen Equity Back Policies Service Support
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27.06.2025 Application deadline: 13.08.2025 The following position is available at the Paleoanthropology Section of the Faculty of Science beginning November 1st 2025 or shortly after. PhD
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fellows (f/m/d) The place of employment is Heidelberg, in the interdisciplinary Research Training Group (RTG) 2840 entitled “Ambivalent Enmity: Dynamics of Antagonism in Europe, Asia and the Middle East
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27.06.2025 Application deadline: 13.08.2025 The following position is available at the Department of Linguistics of the Faculty of Humanities beginning November 1st 2025 or shortly after. PhD
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408. The Technical University of Munich (TUM), as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUM has established the Collaborative Research
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Description The Helmholtz Institute for RNA-based Infection Research (HIRI) is offering a position as Doctoral Researcher: “Remodeling of protein complexes during RNA phage infection” (f/m/d) in
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training