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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | 2 months ago
programming and numerical modeling Candidates do not need to have experience in all of these areas. Applicants with a strong background in electronic-structure calculations and an interest in learning quantum
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exploration and optimization of the process parameter space, as well as for adaptive, data-driven machine learning approaches to map the electrolysis process to a digital twin. In parallel, data workflows and
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
engineering A completed Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good
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-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD) or PhD (for PostDoc) in stem
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organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence PhD in stem cell biology, developmental
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Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good English skills
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
of these areas, a willingness to expand into the others, as well as a general interest in sustainability. They will be proficient in quantitative methods such as causal inference, machine learning, and simulation
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
research. The project will combine established methods from historical research with modern approaches from machine learning and network science. Your TasksThe work will involve the analysis of historical
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power systems in the CoSES lab at the Technical University of Munich. Previous Work https://mediatum.ub.tum.de/doc/1731060/g5zgxaj96lcyhh8gh6le1xbuu.Wetzlinger-2023-TAC.pdf https://mediatum.ub.tum.de/doc