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within the framework of project “SNexT: New generation of hybrid tools”, with nr. 14419 and operation code at the Funds Platform COMPETE2030-FEDER-00582100, co-financed by COMPETE 2030, by Portugal 2030
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel & Distributed, Computing/Learning Control Systems Optimization Planning and Scheduling Human
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materials with engineered catalytic sites, as part of the HyCARB project. The successful candidate will join a dynamic research team with access to facilities for materials synthesis and parallel catalytic
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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translational bioinformatics platforms to support the mission of precision medicine. Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for
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academic institutes and key industrial partners. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and