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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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project predicting the physical properties of uncultured viruses. The Luque lab has recently established an interdisciplinary method combining theoretical biophysics, mathematical modeling, machine learning
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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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Ph.D. in quantitative ecology, climate sciences, population biology, applied mathematics, statistics, or an equivalent discipline. Additional experience in climate, meteorological, or environmental data
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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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physical science and/or engineering research. Experience in simulation & modeling of fluid flow. Experience in statistical analysis and quality analysis. Demonstrated knowledge of advanced mathematics
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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