646 computer-"https:"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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Field
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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of Oregon’s academic excellence at home and with partners worldwide. Centers and programs within GSI include the African Sustainability Center, APRU Sustainable Cities and Landscapes Program, Center for Applied
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of current, accurate, evidence-based programs, guidelines, and information that supports healthier living for Texans. Additional Responsibilities Works closely with Program Managers to coordinate and support
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, and contribute to a growing research program aimed at rethinking how plant–microbiome interactions can support resilient agriculture in a changing climate. Outstanding U of A benefits include health
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of computational and theoretical chemistry. Research will involve the modeling of molecular materials based on model and ab-initio calculations. Projects will include, but are not limited to, and the topological
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collaborative and interdisciplinary team. Candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. Candidate should
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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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Posting Details Posting Details Job Title Post-doctoral Scholar Requisition Number DU14368 Department Name 7H045: Barnstable Brown Diabetes Center Work Location Lexington, KY Salary Range Commensurate with experience Type of Position Student Position Time Status Full-Time Required...
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. - Teamwork: Ability to work collaboratively with others and contribute to a team environment. - Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced