148 high-performance-computing-"Multiple"-"Prof"-"Humboldt-Stiftung-Foundation" Postdoctoral positions
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
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experimental research related to multiple ongoing projects, including optical diagnostic design and high-temperature ammonia oxidation chemistry with applications to green manufacturing and recycling of steel
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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/ transcriptomics / single cell analysis / high throughput sequencing data processing • Experience in working with deadlines and being involved in multiple projects simultaneously • High
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. Erath, is looking for a motivated Ph.D. graduate to perform postdoctoral research in the field of fluid-structure interactions. Funded by an NSF award, the research is experimental in nature and will
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
or high-performance computing environments. - Strong background in statistical modeling and machine learning, especially applied to spatiotemporal data. - Familiarity with urban systems, urban emissions
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Number: JR89397 Position Summary The Cruchaga Lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The NeuroGenomics and Informatics Center generates and analyzes Whole-Genome
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of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We have performed such studies