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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family
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depending on satisfactory performance and funding availability. Starting Date: Negotiable. Position will remain open until filled. Annual Salary: Based on NIH NRSA postdoctoral stipend levels . ● Postdoc
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of computational mechanics, mechanical and civil engineering, and scientific machine learning. The postdoc will be encouraged to publish in leading international journals, present their work at major conferences
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position will be performed within the thematic group CNM2 of D4 department of ICGM, at the pôle Chimie Balard Recherche.The group has large experience in high pressure field and in synthesis of air sensitive
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resources include a high-performance computing cluster. Your job responsibilities As Postdoc, your position is primarily research-based but may optionally involve teaching assignments (occasional lectures
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Production, storage and use of hydrogen is a very
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc (2 years) in plant genomics with a focus on transposable elementsAbout
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in one or more languages such as R, Python, C/C++, or Perl. Experience with high-performance computing environments is an advantage. Excellent understanding of statistics and experience with complex