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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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submitted electronically through MathJobs. If you are perspective graduate students who are interested in our research, we are also looking for self-motivated Master/PhD joining our group, please see more
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evolving mathematical research landscape. It seeks forward-thinking applicants in probability and applied mathematics, including the mathematics of artificial intelligence, optimization, stochastic analysis
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control of finite and infinite dimensional systems; nonlinear and hybrid dynamical systems; stability and bifurcation theory; stochastic dynamics and control; optimization-based and model-predictive control
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of Quantitative Finance and Financial Risk Analytics. Areas of interest include, but are not limited to, asset pricing, financial econometrics, financial machine learning, portfolio optimization
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, centers, and programs at Georgia Tech, including PhD programs in Algorithms, Combinatorics, and Optimization (ACO), Computational Science and Engineering (CSE), Bioinformatics, Quantitative Bioscience
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interdisciplinary PhD programs, in the new Medical Innovation Hub, and in the new Institute for Neuroscience, Neurotechnology, and Society (INNS, https://neuro.gatech.edu/). The School also led the