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Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
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modelling, graph theory, probability calculus, optimal transport, optimization and feedback control, machine learning, and a knowledge of distributed ledger technologies. A track record of publication in
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Experience with system modelling, graph theory, probability calculus, optimal transport, optimization and feedback control, machine learning, and a knowledge of distributed ledger technologies. A track record
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(or be about to obtain) a PhD in mathematics. Evidence of excellent research in geometric group theory. Excellent oral and written communication skills. Ability to work both independently and as part of
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is like Ockham's razor, seeking a simple theory that fits the data well. It can also be thought of as file compression - where data has structure, it is more likely to compress, and the greater
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) Master degree in computer science or mathematics. Good knowledge in at least one of the broad areas of the proposal (graph theory/combinatorics, algorithms/complexity) is required. Previous experience in
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modeling, artificial intelligence, network analysis and graph theory, and natural language processing. The candidate will have the opportunity to help develop and deliver a data science major and graduate
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research and publication. Additional Job Description Required Qualifications Ph.D. in Data Science, Analysis, Graph Theory, Algebra, Combinatorics, Applied Math or Statistics, or related area from a
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. on Statistics, Mathematics and Related Fields, 22 pages, 16th - 18th January, 2006, Hawaii, U.S.A. P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes
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hours. Perform regular scholarly research and publication. Additional Job Description Required Qualifications Ph.D. in Data Science, Analysis, Graph Theory, Algebra, Combinatorics, Applied Math