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experience with accelerated architectures (e.g., GPUs or other accelerators) Experience with performance analysis, profiling, and optimization. Note that it is not necessary to fulfil all of these requirements
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Italy | 1 day ago
simulations and wind energy generation. The activity will be centered on further developments of the algorithms in PSCToolkit and their implementation on accelerator devices Where to apply Website https
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Experience in full-time college-level administration (generally 5+ years). Instructions to Applicants: For full consideration, applicants must apply for the Director of the STEM Accelerator at https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
(EMRP) e a Fundação para a Ciência e a Tecnologia I.P. (FCT Workplan: Plasma-Based Accelerators are studied as a promising source of high-energy electron beams which are either quasi-monoenergetic or have
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Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting
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d'Optique Appliquée (LOA), a CNRS laboratory, to work on the topic of plasma-based acceleration, extreme beams and strong-field QED, in the context of the ANR (French national research funding agency) g4QED
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, United States of America [map ] Subject Areas: Physics / Accelerator and Beam Physics , Accelerator Physics , Applied Physics , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , Cosmology High Energy Physics
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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to improve its sustainability. To this end, we propose a ground-breaking concept using magneto-activated microcapsules with magneto-responsive particles embedded in the shell for the accelerator release. More
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation