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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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generation, energy transformation and additive manufacturing. This dynamic center is partnered with many prominent engineering organizations including Siemens, Mitsubishi Power Systems, GE and Aerojet
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with mobile health (mHealth) technologies 3. Knowledge of advanced statistical methods (e.g., structural equation modeling, multilevel modeling) 4. Research or clinical experience with individuals with
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Responsibilities Research: - Conduct research in AI reasoning, semantic modeling, and knowledge graph development. - Develop and optimize graph databases for structured knowledge representation. - Apply neural
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generation, energy transformation and additive manufacturing. This dynamic center is partnered with many prominent engineering organizations including Siemens, Mitsubishi Power Systems, GE and Aerojet