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integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences
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part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School
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Lehrstuhl für Nachhaltige Thermoprozesstechnik und Institut für Industrieofenbau und Wärmetechnik | Aachen, Nordrhein Westfalen | Germany | 14 days ago
projects, you will be involved in adapting process models for our partners, carrying out simulations, validating them using process data and supporting their implementation. The simulations and analyses
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, Computer Science and Mathematics. Candidates are expected to suggest possible supervisors (PhoQS PIs) as part of the application process. Detailed information on the graduate and scientific program and the
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26 Nov 2025 Job Information Organisation/Company Goethe-Universityrankfurt Department Institut für Kernphysik Research Field Physics » Quantum mechanics Researcher Profile First Stage Researcher (R1
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environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https://www.uni-kiel.de/en/cluster-roots ). ROOTS combines expertise from a wide
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, data analysis and interpretation of the results Organization of logistical aspects of the service schedule Your profile: PhD in life sciences, preferably cell biology, plant cell biology, microbiology
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23.10.2025 Application deadline: 30.11.2025 The BM2 Lab at the Faculty of Science, is in search of a PhD Researcher (m/w/d, E13 TV-L, 65%) for an initial contract duration of 3 years. The position
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design, data analysis and interpretation of the results Organization of logistical aspects of the service schedule Your profile: PhD in life sciences, preferably cell biology, plant cell biology
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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