993 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United States
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. Basic Qualifications: A Ph.D. in Hydrology, Civil/environmental engineering, Earth system science, Water resources engineering, Computational sciences or a related field completed within the last 5 years
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and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife
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transduction, or protein-protein interaction. Computer skills in data and statistical analyses are required. A proven record of productivity as demonstrated by recent first author publications in leading peer
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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positions, visiting assistant professors, and visiting research associates. Department College of Engineering and Computer Science (CECS) - Materials Science and Engineering (MSE) Work Schedule Monday through
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Recent or soon-to-be completed (typically within the last 0-5 years ) Ph.D. in Computer Science, Electrical Engineering, or a related field. Demonstrated research expertise in AI and machine learning, with
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Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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of the seven laboratories of U.S. Army Engineer Research and Development Center (USACE-ERDC), which is the Army Corps of Engineers' integrated research and development (R&D) organization. EL provides solutions
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Impacts for Technology Adoption and Program Engagement in Bangladesh ) project is seeking a postdoctoral fellow who will be housed in the Dyson School of Applied Economics and Management and Department
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for critical energy and technology sectors. Ability to assess the economic and operational impacts of large-scale AI adoption (e.g., data centers, compute infrastructure) on U.S. electricity demand, generation