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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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Department of Energy: Oak Ridge Institute for Science and Education (ORISE): Intelligence Community (IC) Postdoctoral Research Fellowship Program Eligibility: U.S. citizenship required; Ph.D
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Singapore Application Deadline 1 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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the EU Research Framework Programme? NextGenerationEU Reference Number 21/2026/BII/AgendasPRR Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for
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. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion UCL Computer Science is proud to be the first computer
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W.E.B. Du Bois Research Institute at the Harvard University Hutchins Center: Fellowship Program Deadline Month: January Description: The Institute annually appoints scholars who conduct individual
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
Applicable Offer Starting Date 18 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2024.06929.RESTART Is the Job related to staff position
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https://www.medschool.umaryland.edu/profiles/Ren-Lei/ Equipment includes a computer cluster with high-end GPUs, and state
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees