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Research Associate, Environmental Policy Program Posting Number req27041 Department Udall Center Department Website Link https://udallcenter.arizona.edu/programs-projects/environmental-policy-programs
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posters. You should have a relevant PhD/DPhil in Chemistry, Chemical Biology or Biochemistry (or be close to completion), together with demonstrated knowledge of protein, sugar and/or lipid biomolecule
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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, developing and applying computational methods to explore renal pathology across tissue scales. This project will focus on tubular injury patterning and on glomerular disease. You will be responsible
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computational efficiency of large-scale simulations. The Chair of Computational Methods in Civil and Environmental Engineering at the Technical University of Munich (TUM) invites applications for Doctoral
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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computing Scientific proposal writing experience. Position Sponsorship Eligibility: May be eligible for work visa sponsorship About Department - Civil and Environmental Engineering | Washington State
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mentoring, opportunities to co-supervise students, and access to TU Delft’s training programme. This vacancy is positioned within the globally recognized Department of Hydraulic Engineering (HE), known
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, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
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using software best practices. Present research results at national conferences and author publications. We are looking for: Ph.D. in Physics, Chemistry, Material Science, Computer Science or a closely