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and applied mathematics are particularly encouraged to apply. Experience with climate model analysis, modern statistical methods, and processing/analyzing large data sets and model outputs is needed
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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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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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senior researcher as part of a new multi-institution initiative 'Hidden Symmetries and Fusion Energy' funded by the Simons Foundation. The goal of the initiative is to build a mathematical and
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-principles modeling and machine learning. The center is seeking a qualified candidate with a Ph. D. in physics, chemistry, engineering, applied mathematics, and related disciplines, having a strong
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PhD in a related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research), before September 2024, are encouraged to apply. Ideal candidates will
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. Required Qualifications: Ph.D. in a relevant science or engineering field is required. Candidates from subsets of fields including hydrology, scientific computing and applied mathematics are particularly
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this position is required. Candidates from subsets of fields including atmospheric and climate sciences, computer science, physics and applied mathematics are particularly encouraged to apply. Experience with
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. Candidates from subsets of fields including atmospheric and climate sciences (particularly in the subdisciplines of atmospheric chemistry and atmospheric/climate dynamics), physics and applied mathematics
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biology, cloning, instrumentation/device design (e.g. optics, microfabrication), quantitative light microscopy, and computational work or mathematical modeling would be useful. Princeton University is