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. The team is located within the School of Computation, Information and Technology at the Technical University of Munich, an internationally renowned university with excellent connections to leading research
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 2 months ago
, engineers, technical, and administrative staff Lead in cutting-edge scientific projects and work in advanced physics laboratories An initial 24-month contract with the possibility of one-year extension Salary
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but not limited to solid-state chemical synthesis, wet chemical-based approaches, high throughput synthesis techniques) to fabricate all-solid-state sensor structures. • Characterize the bulk and
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
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rankings in research and teaching. Our group “Sustainable Energy Materials” concentrates on the preparation of heterogeneous catalysts and the understanding of structure-performance indicators in
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication