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related technical field, where prior research experiences in the analysis of aerodynamic noise, vortex sound, and/or wave scattering are highly valued. The postdoctoral scholar will benefit from
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14853, United States of America [map ] Subject Areas: Nutrition Data Science Epidemiology Public Health Medicine (more...) Bioinformatics / Clinical , Computer Science , Mathematics , statistics Salary
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further
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The Applied Mathematics and Plasma Physics (T-5) group within T-Division conducts research across a wide variety of topics including fusion science, space plasmas, numerical analysis, computational imaging
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) mathematics, physics, or a related STEM fields. Job Description: The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI
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recover from disruptions, as well as the risk of cascading interactions between them. Key responsibilities: analysis of the planetary-scale resilience and stability of the Earth system (its capacity
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
in projects and activities involving commercialization goals across the DOE energy and innovation portfolio by researching strategy, conducting analysis, identifying opportunities to streamline and
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix