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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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Mathematics, Statistics, and Actuarial Science. Special consideration given to the areas of Data Science, Financial Mathematics, Actuarial Science, Graph Theory and Combinatorics, Applied Probability and
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: Enrollment in a Master's or PhD program for Mathematics or related field Familiarity with math software/tools (e.g., MATLAB, graphing calculators, Microsoft Excel, R) Additional Information: This is a part
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probability, random matrix theory, random graphs, stochastic analysis, and stochastic processes. Preference will be given to applicants with demonstrated research interests or expertise in the development
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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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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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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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Posting Information Posting Number FAE1689 Advertised Title Assistant Professor in Combinatorics & Graph Theory Campus Location Main Campus (Memphis, TN) Position Number 001954 Category Full-Time
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded
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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as