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-informed modeling approaches. Background in climate risk, i.e., applying weather and climate to societal impacts, decision-making, adaptation, etc. Familiarity with high-performance computing. This position
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quantum field theory Experience with programming languages, in particular C/C++/Python Experience with Linux and high-performance computing Willingness to contribute with talks to international
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-performance computing facilities for modelling and simulation. How to apply Identify potential supervisors Gather your documents Apply now Contact us
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LU who formulate scientific questions related to how production conditions and usage influence material performance. The project does not focus on developing new foundation-model architectures, but on
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in heat transfer, mathematical methods in engineering physics, and a demonstrated interest in numerical methods, and high-performance computing. Applicants should hold a master’s degree with excellent
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categories Discipline Applied Science , Biomedicine , Chemistry , Clinical , Computing , Earth Science , Engineering , Environmental Science , Health Science , Life Science , Mathematics , Physics Job
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 22 hours ago
, operations, and management of FDA’s High-performance Integrated Virtual Environment (HIVE) infrastructure and scientific computing environment. The opportunity involves building and improving applications
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modeling brain circuits and neural activity from large-scale, multi-regional recordings. Experience with large-scale datasets, distributed training, or high-performance computing environments. Experience
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infrastructure, including high-performance computing clusters for molecular simulations and data-driven modeling. Additional support includes access to software licenses and collaborative opportunities
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facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can