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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of these coupled systems in a stochastic simulation environment. These projects will span a range of regions (e.g., California, U.S. Pacific Northwest, U.S. Southeast, Africa) and a number of different economic
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via https://www.mathjobs.org/jobs/list/26674 . Please provide the following required materials: · A cover letter addressing the following o Required qualifications o Preferred qualifications
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for seeking internal and external funding Application Procedure To receive consideration, a complete online application must be received by electronic submission via https://www.mathjobs.org/jobs/list/26674
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including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational, and analytical research
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, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P robability Theory, Stochastic Analysis, Mathematical Statistics, Bayesian Statistics are encouraged
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, statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward
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- Stochastics International elements International guest lecturers Projects with partners in Germany and abroad Integrated internships Internships are possible. Teaching/work obligations or opportunities
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Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two
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or more systems methodologies including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational
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/10.1098/rsif.2019.0127 [2] Hilbe, Christian, Štěpán Šimsa, Krishnendu Chatterjee, and Martin A. Nowak. “Evolution of Cooperation in Stochastic Games.” Nature 559, no. 7713 (July 2018): 246–49. https