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stochastic analysis; differential geometry and geometric analysis; algebraic and geometric topology; algebra, number theory and cryptography; dynamical systems; analysis and nonlinear/stochastic partial
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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or potential in areas such as: Mathematical quantum physics, including quantum information theory, C*-algebras, von Neumann algebras, and the rigorous mathematics of quantum field theory Strong or emerging
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areas such as: Mathematical quantum physics, including quantum information theory, C*-algebras, von Neumann algebras, and the rigorous mathematics of quantum field theory Strong or emerging research track
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computer science, statistics, mathematics, data science, or related fields. Strong background in statistics and linear algebra. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in
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degree or currently working on finalizing master thesis in computer science, statistics, mathematics, data science, or related fields. Strong background in statistics and linear algebra. Foreign completed
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: Strong understanding of statistics, probability, optimization, and linear algebra. - Machine Learning: Deep learning, probabilistic modeling, generative models, etc. - Programming & Software Development
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computer science or statistics A solid background in mathematics, linear algebra and statistics. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras