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Organization U.S. Department of Energy (DOE) Reference Code DOE-Scholars-2025-NNSA How to Apply Click on Apply below to start your application. Description The DOE Scholars Program at the National
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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Stanford University / SLAC National Accelerator Laboratory | Menlo Park, California | United States | 2 days ago
-QIS [#29764] Position Title: Position Location: Menlo Park, California 94025, United States of America [map ] Subject Area: Quantum Information Science Appl Deadline: 2025/08/31 11:59PM (posted 2025
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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at the University of Oregon offers BS, MS, and PhD degrees in Computer Science; instruction is provided by 16 tenure track faculty, 2 emeritus faculty, and 6 career instructor faculty. The department serves
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Computer Science at the Nano-Optics and Advanced Health-Sensing (NOAHS) Lab by focusing on heterogeneous integration of transparent conductive oxides (TCOs) with silicon photonics, which will be primarily
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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of Computer Science and Information Technology, to work on Insight Platform research in the area of multi-agent pathfinding in dynamic environments. In addition, the researcher may contribute to various other
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of Computer Science and Information Technology, to work on Insight Platform research in the area of LLMs and constraints – verifiable, reliable generative AI. In addition, the researcher may contribute to various other