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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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Grossmont/Cuyamaca Community College District | El Cajon, California | United States | about 1 month ago
mathematics, formal logic, graph theory, and their applications to computational problem-solving Computer architecture, operating systems, and the relationship between hardware and software systems Object
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implementing algorithms and data structures for complex systems. Expertise in advanced algorithmic concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking. Knowledge of modern
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concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking. Knowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed
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Position Location: Zhuhai, Guangdong Province 519087, China [map ] Subject Areas: real analysis, complex analysis, partial differential equations, functional analysis, graph theory or similar areas Appl
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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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for distinguished professorship. Candidates in areas including, but not limited to, Algebra, Number Theory, Geometry, Topology, Combinatorics, Graph Theory are encouraged to apply. Responsibilities
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faculty are actively investigating complex conditions that affect the central nervous system, including cancer stem cell theory and aggressive brain cancers as well as the mechanisms behind cerebrovascular
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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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, 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