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-time postdoctoral grant in Probability and Statistical Physics - CY Cergy Paris University Mathematical modelling of complex systems often involves combining deterministic structures with probabilistic
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hours Th + 30 hours Pr) MATH0257-2, Complex analysis (optional course, Block 3 Bac Math. + Master’s, 30 hours Th + 30 hours Pr) MATH0510-1, "Additional topics in mathematical analysis (compulsory course
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California Polytechnic State University | San Luis Obispo, California | United States | about 7 hours ago
theory, combinatorics, commutative algebra, geometry (algebraic, arithmetic, and differential), topology, complex analysis and operator theory, and geometric analysis. Bailey College is committed
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of diverse scope where analysis of data requires a thorough understanding of complex regulations. We are seeking a collaborative, professional, team player. The incumbent should be proactive, understand
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(or are close to completing a PhD) in pure or applied mathematics, with an excellent profile in functional/complex analysis and fields related to the project (such as, but not limited to, numerical linear algebra
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, Computer Science, Mathematics, Biomedical Sciences, or a closely related field Strong background in computational data analysis with a solid understanding of biological and biomedical concepts Expertise in machine
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predicting pollutant dispersion in complex environments like industrial sites remains difficult due to fluctuating wind conditions and obstacles. This PhD project offers a unique opportunity to develop
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, mathematics, statistics, computer science, physics, etc. Prepares and edits research papers, proposal, and reports. Performs advanced testing procedures and analyses of data. May prepare samples for testing
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). You can find more details below, as well a short presentation of the project. Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models for capturing complex market
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insights and internal/external employment trends. Responsibilities Data Analysis and Reporting Collect, clean, and analyze large and complex data sets to identify trends, insights, and opportunities