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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
related quantities obtained from non-local matrix elements, as well as on the development of algorithms and software for large-scale lattice QCD simulations on DOE leadership-class computing facilities
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follow the link at: https://www.cst.cam.ac.uk to find out more about our department. Applications are invited for a postdoctoral researcher to join Professor Tom Gurs research group in the Department
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? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES-Geral-CPES
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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collection, data storage, algorithms, and AI learning principles that allow components of a distributed AI system to be trained collaboratively to dynamically better cooperate toward a unified production
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to the implementation and characterisation of AI/ML algorithms for 6G integrated sensing and communications systems, with particular emphasis on embedded platforms, digital processing architectures, efficient
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localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio localization, sensing, and tracking in terrestrial and
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find the project details here: https://www.inn.no/english/research/research-projects/UTI-Diag/ https://www.inn.no/english/research/research-projects/OH-AMR-Diag/ The main objective of these projects is
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of algorithms based on artificial intelligence, since, to fully exploit the potential of AI, algorithms must be fed with data. This research project will examine these issues by focusing on three main areas