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Field
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
: The recruited person will be in connection with the hardware engineer recruited in parallel on task T3.3, who designs and fabricates the physical actuated phantom prototype, for the joint integration and
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of the University of Colorado Anschutz Medical Campus. The Department has grown substantially in the past 15 years, from 40 to 120 faculty in parallel with the remarkable growth of our hospital based affiliates as
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matter or neutrino physics experiments. Knowledge of hardware integration and real-time control systems. Familiarity with high-performance computing and parallel processing techniques. Proven track-record
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
will investigate the regulatory activity of genetic variants associated with neuropsychiatric and neurodegenerative disorders using diverse functional genomics approaches, including massively parallel
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proteomics and/or immunopeptodomics in clinical or translational research settings; Demonstrated expertise in: Data-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics
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. Design and implement distributed and parallel approaches that efficiently leverage large-scale computing resources, including heterogeneous CPU/GPU systems, along with the possibility of working with
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end