56 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" research jobs
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supports undergraduate students in becoming entry-level software engineers by graduation. In 2023, the U.S. Department of Commerce’s Economic Development Administration (EDA) announced that Nevada – led by
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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transformation as automated and safety-related technologies are introduced across one of the largest industry sectors in the U.S. You can play a part in saving lives by preventing heavy vehicle crashes and
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topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work
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. Washington Monthly Magazine ranks FIU among the top 20 public universities contributing to the public good. The School of Universal Computing, Construction, and Engineering Education - Multidisciplinary
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conditions on freezing rain and its influence on structural ice load standards in the U.S. The successful candidate will work with cutting-edge climate data, environmental hazard modeling, and structural
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Appointment Advising ASPIRE to Innovate ASPIRE Internships ASPIRE on the Road Beyond the Lab: See and Listen CV / Resume Drop In Clinic ASPIRE Path in Molecular Medicine Richard M. Caprioli Award for Technology
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position within the University’s Career-Line Faculty structure, with a renewable contract. The University of Utah and the College value candidates who have experience working in settings with students from
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Scholar must have a PhD degree in Electrical, Mechanical or Computer Engineering. Excellent written and verbal communication skills are required. Preferred qualifications Applicants are preferred to have a
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, computer science, electrical engineering or physics. Preferred qualifications A deep understanding of statistical modeling, inference, and compressed sensing. Experience deriving biological insights from large