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and mass spectrometry and the largest HPC (High Performance Computing) cluster in Africa. The laboratory aims to leverage these resources to address bioinformatics needs internally and at the African
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the division and the research The Division of Subatomic, High-Energy and Plasma Physics performs research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma
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academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering, or related fields. Sound publication record in high-impact conferences/journals. Experience in working as
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
damage in realistic geometries; investigate surrogate models; make original research contributions to the PSFC program; and produce work for publication, present work at scientific conferences, and mentor
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Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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dedicated high-performance computing implementations. Technology transfer to magnetic resonance imaging in medicine is a secondary target. Key Duties and Responsibilities The postholder will develop new image
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overlapping computation with memory transfers; Write a technical report about the performed work. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording
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research in theoretical laser plasma physics in a collaborative and dynamic environment. Information about the division and the research The Division of Subatomic, High-Energy and Plasma Physics performs
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Familiarity with optimization algorithms and design of experiments methodologies Experience with high-performance computing environments Track record of publications in peer-reviewed journals Previous
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient