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: Community, Professional, & Economic Development * APEX Accelerator Department's Website: uaex.uada.edu/business-communities Summary of Job Duties: The Administrative Specialist III is responsible
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 20 hours ago
Development, Communications, External Relations, Finance, Facilities, Human Resources and Computing, while fostering seamless collaboration across teams to accelerate innovation and maximize impact. A full job
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magnetospheres. The goal is to better understand the plasma dynamics, the launching of relativistic magnetized outflows, and particle acceleration in the close environment of compact objects. The candidate will
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Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS‑LEE project, we will use
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economic development strategy and the University of Missouri’s economic development mission. For more information about extension’s business APEX Accelerator program visit https://extension.missouri.edu
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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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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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-generation AI accelerator architectures, with particular emphasis on tile-centric computing techniques. The project aims to explore novel architectural, system-level, and software–hardware co-design approaches
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform