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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 | 1 day 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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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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Job Description The Opportunity The Embry-Riddle Department of Electrical Engineering and Computer Science seeks a part-time Research Assistant to assist in development of real-time automatic speech
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, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in Computer Science, Software Engineering, or related field. Strong publication
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at the University of Arizona invites applications for a Postdoctoral Research Associate position in theoretical nuclear physics and quantum information science, beginning in Fall 2025 or later. The successful
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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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