12 algorithm-development "https:" "Simons Foundation" Postdoctoral research jobs at University of Texas at Dallas
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https
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modelling, theoretical physical organic chemistry and electronic structure theory to advance our understanding of chemical reactivity. We aim to develop new concepts and computational tools to drive
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based on particle image velocimetry (PIV), laser-induced fluorescence (LIF), high-speed imaging, and schlieren/shadowgraphy techniques. The resulting dataset will support the development of sea-state
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professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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early learning and development. We use a variety of methods – including experiments, naturalistic observations, and surveys – to explore how young children learn from others. We aim to build evidence