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Description We have an opening for a Postdoctoral Researcher to work in the field of computational materials science and actively participate in research dedicated to the discovery of new structural alloys for
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Computational Studies of Nanoporous Solids Location Material Measurement Laboratory
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questions related to the roles of elongation factors and their connection to human diseases. The successful candidate is expected to: Conduct research in computational biophysics related to the project
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are expected to have a PhD in Physics, Mathematics, Computer Science or a related quantitative discipline. Ideal candidates from the biological sciences should have experience with scientific
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or expertise in computational analysis or wet-lab experimentation are encouraged to apply. Position Requirements A Ph.D. in Immunology, Bioinformatics or Quantitative Biology/ Computer Science
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 1 Nov
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 1 Oct
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence Employer NEW YORK UNIVERSITY ABU DHABI Location Abu Dhabi, United Arab Emirates Closing date 29
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logging into their existing Workday employee account. Position Summary: Florida Atlantic University seeks a highly computational Postdoctoral Fellow to architect the geospatial foundation of campus
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degree). Strong background in one or more of the following: Computer Vision Machine Learning Artificial Intelligence Computational Behavioral Science Data Science Biomedical Engineering Computational