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with state-of-the-art infrastructure, including a Tier-3 high-performance computing (HPC) cluster and access to regional mesocenters, enabling cutting-edge research in atomic-scale simulations and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
The postdoctoral researcher will focus on the design, fabrication oversight, and characterization of high-performance integrated quantum sources. The research plan includes: Resonant and Non-Resonant Design
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microscope iii) high-performance computing resources iv) access to state-of-the-art facilities (ESRF, HPC Jean-Zay) The team is young, dynamic, and strongly focused on integrated approaches in structural
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, transcriptomics, and proteomics. - Perform computational analysis of high-dimensional datasets, integrating multi-omic data where appropriate. - Interpret findings in a broader biological and
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datasets. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine
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thus offers high research efficiency and an excellent research environment. The LIT is looking for a highly motivated postdoctoral researcher to take on a dual role in technical operation of the state
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setting where ideas grow into real impact. At the division of Computer and Network Systems , we design secure, dependable and high-performance computer and communication systems that meet the demands
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research unit UMR2000 Evolutionary Genomics, Modeling and Health . It offers strong expertise in virology, molecular biology, population genetics and genomics, and access to high-performance computing
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data