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, with particular emphasis on exact and nonlinear general relativity, geometric and mathematical analysis of the Einstein equations, analytical and numerical approaches to strong-field dynamics
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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-body contributions. Tasks: Independent scientific collaboration on the above-mentioned project Data analysis and interpretation, numerical modeling, and preparation of scientific publications
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interactions. Development and use of numerical simulation tools to study plasma–dark matter interactions. Analysis of astrophysical data to search for observational signatures of this physics. The group also
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natural- and engineered-wood-products. These calibration measurements, analysis tools, resulting material property sets, and comparisons of experimental measurements and numerical simulations of full-scale
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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within the University on numerous projects; data analysis, assessment, and reporting; working with University partners to maximize academic offerings; and other strategic initiatives. The DAA will work
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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biologists in study design, development of bioinformatic pipelines and analysis modules for the analysis and publication of high-throughput omic data from cancer studies including Phase I / II or III clinical