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equations, functional analysis, graph theory or similar areas depending on the evolving needs of the department. The successful candidates are also expected to supervise undergraduate and graduate students in
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities for these positions include mathematical research, undergraduate and graduate teaching (1+1
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probability theory and existing research areas in the Department, such as analysis, applied mathematics, graph theory, number theory, or data science; and 3) provide service to the academic unit. Required
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qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning Enthusiasm