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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
. Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science, Health Services Research, or a related discipline Strong quantitative and analytical skills, with proficient programming
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, Economics, or a related field, earned within the past six years Strong computational and statistical skills Experience with large-scale data analysis and machine learning Proficiency in scientific programming
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National Lab's (LBNL ) Accelerator Technology & Applied Physics (ATAP ) Division has an opening for a Postdoctoral Scholar to work in the ALS Accelerator Physics Program (ALS AP). The position requires
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natural sciences Experience with scientific programming and Unix operating systems Experience with various programming languages, including C++, Python and Matlab Ability to work with large datasets
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer science
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mechanisms of functional nucleic acids and the various proteins that interact with them. This multidisciplinary research environment integrates concepts from biology, chemistry, physics, computer science, and
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analytics, gene-phenotype discovery, and clinical innovation. The HGSC is funded from multiple National Institutes of Health sources, including the All of Us Research Program as a Genome Center, the Gregor
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, Robotics, Computer Vision, or related disciplines. Proven expertise and hands-on experience in one or more of the following areas: large language models (LLMs), end-to-end learning, AV localization