17 parallel-processing-"https:"-"INL---INSA-Lyon" Postdoctoral positions in United States
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Phanstiel lab at UNC (http://phanstiel
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protein allowable milk with the least amount of feed and animal inputs under feeding and management conditions in India. • Integrate the feed chemistry data being developed in a parallel project. • Travel
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testing experimental Forecast-Informed Reservoir Operation in the Hydrometeorology Research Group. In accordance with USCIS regulations, successful applicants must be legally able to accept work in the
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testing experimental Forecast-Informed Reservoir Operation in the Hydrometeorology Research Group. Benefits at UTA We are proud to offer a comprehensive benefits package to all our employees
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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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. Our lab studies how co-translational processes regulate gene expression and is newly focused on leveraging these insights to create novel molecular tools. One long-term goal of our research program is
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating