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seeking an experienced Systems Engineer to join our High-Performance Computing team! Auburn researchers use High Performance Computing to solve some of the world’s most difficult and important problems. As
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compute nodes and over 38,000 CPU cores, over 200 GPUs, 200 TB of memory, 2PB of high-speed data storage, and high-speed networking. The Meteorology program is co-located with the Iowa Environmental Mesonet
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Purpose: Position performs research and provides recommendations on various GASB and tax-related issues. Prepares financial analyses, assists with year-end closing, financial statement preparation and
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an interdisciplinary and international team and to regularly present research findings Skills in materials chemistry, actinide chemistry, theoretical chemistry, high-performance computing, and programming are beneficial
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or communications, including analyzing & interpreting information 6 mos. experience (600 hours training) in operation of computer and related peripheral equipment 3 mos. experience (300 hrs course work) in
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organizations to identify emerging trends and develop innovative program offerings. Data Analysis & Reporting: Collect and analyze program data, monitor program effectiveness, and prepare regular performance
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to stand or walk occasionally in the performance of job duties. Ability to operate a motor vehicle occasionally in the performance of job duties. Mobility on campus necessary. Visual acuity to read computer
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Hospital, where in vivo acquisitions are performed. Work will be distributed between both sites depending on project needs. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7587-PEDBAR-009
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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AI, or active learning for materials applications. Integration of theory and experiment: Using computation and ML to interpret or guide experimental work. High-performance computing (HPC) and data