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(PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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Minnesota State Colleges and Universities, System Office | Mankato, Minnesota | United States | about 1 month ago
machine learning and/or artificial intelligence related math courses, including computational topology and geometry, network analysis, optimization, and scientific computation etc. Strong interest and
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different research directions: Optimization and machine learning with quantum-inspired methods like tensor networks Characterization of the problem graphs resulting from encoding combinatorial optimization