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project, the suitability of novel, consortium-developed and innovatively manufactured material candidates, particularly high-entropy alloys (HEAs), for use in fusion applications is investigated
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within the open call on “Molecular Mechanisms in Genome Stability & Gene Regulation”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how
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10 Oct 2025 Job Information Organisation/Company Fraunhofer Institute for Wind Energy Systems IWES Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1
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within the open call on “Molecular Mechanisms in Genome Stability & Gene Regulation”. As an IPP PhD student, you will join a community of exceptional scientists working on diverse topics ranging from how
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | 2 days ago
the host. Consequently, we investigate the defence mechanisms the immune system uses against pathogens as well as the strategies employed by microorganisms to overcome these defence mechanisms and the
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for the simulation of non-adiabatic exciton transfer dynamics in light-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26270 PhD position in cell biology and lipid metabolism (f/m/d) Stellenanzeige merken Stellenanzeige
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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under