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independence and resources. The KIC Fellows program is designed to attract the best and brightest experimental researchers in nanoscale science to Cornell. Selected candidates will have access
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Short summary We are looking for a highly motivated postdoc with proven research abilities and an excellent publication record who will lead the development of the generative AI-based framework
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topological quantum materials. Our group aims to discover new topological quantum phases of matter, explore their physics and apply them to address challenges in electronics, photonics, quantum computing
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Fellows. It pays like a strong postdoc. No background in AI is required; we weigh the ability to learn above experience with any method. Top-performing Fellows will be offered permanent research positions
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Luis W. Alvarez Postdoctoral Fellowship and Admiral Grace M. Hopper Postdoctoral Fellowship in Computing Sciences The Computing Sciences Area at Lawrence Berkeley National Laboratory is now
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Fellowship Description The Wu Tsai Institute (WTI) Postdoctoral Fellowship Program supports early-career researchers from a range of disciplines in their pursuit of interdisciplinary research
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) Application Deadline 15 Aug 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Horizon
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
letter describing research interests and career goals Contact information for three references Representative publications For more information on our postdoctoral training program and benefits, please
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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applications for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group