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Field
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IUT, in Diophantine geometry, in applications of modern mathematics to deep neural networks, and related areas. The previous research work has been partially supported by research grants from several
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. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
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system, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Conduct applied research in machine learning, deep learning, and reinforcement learning for optimizing
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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. Pierre Youssef on subjects including (in no particular order): Concentration and functional inequalities. Mixing times of Markov chains. Mathematical aspects of machine learning (automated proofs, deep
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-dimensional probability, concentration and functional inequalities ? Mathematical aspects of machine learning and deep neural networks ? Free Probability aspects of Quantum Information Theory. While excellent
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learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
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meaningful change in the world. Learn more about American University Department: School of International Service Time Type: Full time FLSA Status: Exempt Job Description: The School of International Service
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsibilities: -Develop and implement advanced numerical algorithms and deep learning