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such as COMSOL Multiphysics and/or ANSYS Fluent to evaluate velocity distribution, pressure drop, mass transfer efficiency, and thermal dissipation. Develop and validate integrated multi-physics models
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, and contribute to scaling these approaches to real-world applications in one or more of the following areas: Machine-learning-assisted subsurface characterization and monitoring Distributed Acoustic
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. APPROPRIATE will work as a tight team where the PI will work with the project members on all the WPs, yet with clear distribution and responsibility of tasks. In addition to the PI and the PhD candidate
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external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud
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learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies
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members on all the WPs, yet with clear distribution and responsibility of tasks. In addition to the PI and the PhD candidate, the project is in the process of employing one postdoctoral fellow. More about
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Supply Distribution Specialist Job ID 61140 Location St. Louis Department MO Institute of Mental Health Job Family Program & Project Administn Business Unit University of MO-St. Louis Posted Date 09/24