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Field
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to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph theory, and statistics. Algorithm
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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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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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
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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 Education and Experience
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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
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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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, like Kron reductions from graph theory. The aim is to find an approximation of the system of manageable scale while preserving its essential properties. One promising method for power system model
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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