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differential and integral identities involving modular forms. Knowledge in the theory of integer lattices. Strong foundation in algebra, analysis, and topology required to study modular forms from both analytic
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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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leading to a maximum appointment of three years. Special consideration will be given to applicants with interests aligned with areas of research in the Department of Mathematics that include algebra
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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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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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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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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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