1,104 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-RIJEKA" Postdoctoral positions in United States
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scalability studies to identify and improve bottlenecks in large codes. Experience in development of data-driven reduced-order models in one or more of these areas: turbulence, boundary layer flows, combustion
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Position Details Position Information Announcement Number STAFF - VA - 26260 For questions regarding this position, please contact: Molly Patten Business Office Manager molly.patten@montana.edu
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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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experiments. Develops research techniques and perform applications required for specific research projects. Conducts literature searches and summarize information in an appropriate format for a particular study
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. The appointment will be for two years, pending satisfactory performance in annual reviews. For more information, prospective applicants are welcome to contact Prof. Chanda Prescod-Weinstein at chanda.prescod
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, data collection and analysis, and utilizing collaboration tools and AI technologies. Why Apply? Gain exposure to world-class research, data analytics, and artificial intelligence applications within OP
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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analyze a suite of high-resolution regional ocean biogeochemical model simulations to provide actionable information to decision makers as part of NOAA’s Changing Ecosystems and Fisheries Initiative (CEFI
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate