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state-of-the-art high heat flux testing, simulating the extreme environments of fusion reactors. Harness advanced computational tools to model complex particle-material interactions and predict material
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programming skills in R and/or Python; experience with shell scripting. Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger). Familiarity with high-performance computing
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for cooperation with excellent partners at the FAU Erlangen-Nürnberg, the FZ Jülich, RWTH Aachen, and numerous partners in Germany and abroad An excellent international environment to perform sound, high-quality
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 23 days ago
position is initially for three years, and PhD students will participate in the IMPRS program. Salaries will be paid at German civil service rates (TVöD-Bund, 65% of E13). The position is part of the eROSTEP
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candidate with a high degree of self-motivation and possesses the ability to work in a structured manner. The candidate should also have high organizational skills and ability to perform clean work in the lab
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passionate about working in a team. You will lead the publication of results in high-impact scientific journals. You have a strong background in physics, geophysics, materials science, computation, engineering
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, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact decisions
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The position is responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission