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/climate dynamics), physics and applied mathematics are particularly encouraged to apply. Experience with climate model analysis and simulation, and processing/analyzing large data sets and model outputs is
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, or Tensorflow. Candidates from the physical/mathematical sciences should have prior exposure to research in the biological sciences including research in computational neuroscience or computational structural
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or Doctorate in Mathematics, Computer science, computational neuroscience, biomedical engineering, data science or a related field. Minimum of 3 years predoctoral level research. Preferred
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Biology. The Laufer Center is a hub for research in physical and quantitative biology at Stony Brook University. Our aim is to advance biology and medicine through discoveries in physics, mathematics and
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begin as soon as January 2024. A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational Mathematics, or a related
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presentations. Participate in writing grant proposals. Perform other duties as assigned. Minimum Qualifications PhD in Mathematics Education, Engineering Education, STEM Education, or closely related professional
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Postdoctoral Researcher- Gu Research group The University of Southern Mississippi is currently accepting applications for the position of Postdoctoral Researcher- Gu Research group. Position Details Location Hattiesburg 118 College Drive Hattiesburg, Mississippi, 39406-0001 United...
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In this position, you will characterize and analyze the behavior of nuclear fuels and structural materials used in current- and next-generation nuclear energy systems and research reactors. You will develop correlations to describe the characteristics of materials and models to describe their...
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qualifications: Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields. Experience contributing to scientific software in C++, Python
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a four-year NSF funded project that aims to evaluate a state-level effort in increasing the success rates of community college students in gateway mathematics courses and contributing to the knowledge