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, development, testing, and commercialization of technologies to advance marine energy as well as next-generation hydropower and pumped storage systems to deliver flexible, reliable energy. Marine energy
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intelligence and machine learning across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare
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EndoCartoScope: Transforming any Endoscope into a Smart Device for Intraoperative 3D Localization, Navigation and Mapping. (GA: 101211633). Profile: PhD in a field related to 3D reconstruction and/or map building
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development and function under the guidance of scientific mentor in the Department of Microbial Infection & Immunity; designs, conducts, and evaluates research experiments; plans and executes advanced cellular
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 4 hours ago
Science, Technology, and Policy (STP) Fellowship Program. This Fellowship will focus on advancing workforce development strategies in the energy sector, with a focus on enhancing energy skills training and
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 16 days ago
and unintended demographic consequences of medical progress. Our mission is to advance the field of medical demography by building on existing approaches and developing new conceptual, methodological
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/Buchnera endosymbiosis. Aphids house Buchnera in specialized bacteriocytes and must coordinate bacterial population growth with their own development and reproduction across generations. We are asking
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven