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, mathematics, or a related field. Specific requirements: Candidates must also have knowledge/research experience in the following areas: Quantitative methods (e.g., game theory, econometrics models) applied
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the fellow to gain advanced experience in digital signal processing, underwater acoustics, estimation theory, localization based on time-difference-of-arrival (TDOA), and data analysis from distributed
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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biophysical ecology research aligned with the ARC project on climate responses of pests. Develop, refine and apply quantitative models of organisms and environments using advanced computational and mathematical
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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Position Description The Mathematics Department seeks to hire multiple postdoctoral fellows: 1) Michael Brin postdoctoral fellows; and 2) Sergei Novikov postdoctoral fellows. The University
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engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid
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systems we inhabit, which do not correspond to the neat conceptual delineations of democratic theories. The post holder will take a prominent role in developing the conceptual and methodological innovations
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American Mathematical Society | Washington, District of Columbia | United States | about 3 hours ago
Fellowship Description The American Mathematical Society (AMS) will sponsor a Congressional Fellow from September 2027 through August 2028. The Fellow will spend the year working on the staff
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lab experiments Publish results in top-tier journals in related fields Assist in mentoring PhD students Job Requirements: PhD degree in mathematics, systems engineering, or machine learning Expertise in