2,251 parallel-computing-numerical-methods "Simons Foundation" Postdoctoral positions in United States
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and mentor junior researchers in laboratory methods, data analysis, and academic writing. - Strong collaboration and communication skills, with a track record of working across disciplinary boundaries
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methods for subsurface sensing and characterization. -Present research outcomes at conferences and contribute to peer-reviewed publications in geophysics and computational science. -Collaborate with team
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-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative
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(CHX, 11-ID) beamline at NSLS-II seeks a postdoctoral researcher with a strong background in computational imaging, data science, or scientific computing. This position will focus on developing advanced
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of parallel synthesis and purification methods is required. Some experience in molecular modeling and/or protein-inhibitor visualization is a plus. The incumbent must be able to synthesize, purify, crystallize
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Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life on exoplanets. The position will be supervised
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methods. The general goals are to determine emissions, transport rates and mechanisms, loss rates and mechanisms, ozone depletion, and radiative forcing by these gases at sub-national to global levels
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence