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staff and faculty are key contributors to UC’s success. Job Overview The P&G Digital Accelerator@UC is seeking a Biochemist/Molecular Biologist to help drive Product and Process innovation through
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to develop novel strategies that contribute overcoming critical resource bottlenecks in energy devices. The successful candidate will be joining the CO2 Mitigation Accelerated by Photons group led by Prof. Dr
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Mitigation Accelerated by Photons group led by Prof. Dr. Pelayo García de Arquer is searching for exceptional researchers and engineers, with an excellent proven track record, to develop efficient water
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An exciting opportunity to join the Snow Vision Accelerator Location: Loreto Group, Axon degeneration Lab, School of Medical Sciences, Charles Perkins Centre, Faculty of Medicine and Health Full
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: AI4LSQUANT aims to accelerate quantum modelling by learning fast, accurate surrogates
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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
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is a world leader in early-stage discovery science in the areas of cancer, immunology, and infectious disease. The Institute is committed to accelerating research advances from bench to bedside through
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, Hualin Mei and Xin Xiang. Accelerator-based Experimental Group: 1. LHC-ATLAS Physics and Detector Upgrade 2. CEPC Physics and Detector R&D 3. Fundamental and Applied Muon Science (Muon g-2, muEDM, SHINE
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relationship between the fundamental properties of black holes, accretion disks, and the surrounding medium, including the processes of jet acceleration, collimation, and conversion from electromagnetic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
. Opportunities may also exist to participate in planned field campaigns in Greenland. The postdoctoral scholar will be expected to improve on existing GPU-accelerated ocean models and develop laboratory