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optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
oncology by pursuing two main directions: (1) leveraging clinical and multi-omics data to generate hypotheses, uncover novel cancer vulnerabilities, and optimize therapeutic strategies, and (2) developing AI
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Campus Address 1133 E. James E. Rogers Way, Tucson, AZ 85721 USA Position Highlights The Water Resiliency Program at the University of Arizona, Department of Chemical and Environmental Engineering is
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture
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Job Status Full-time Hours Per Week 40 Offer Starting Date 2 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed
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United Arab Emirates Application Deadline 4 Feb 2026 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Researcher (R3) Application Deadline 16 Jan 2027 - 00:00 (UTC) Country Vietnam Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. - Teamwork: Ability to work collaboratively with others and contribute to a team environment. - Technical Proficiency: Skilled in using office software, technology, and relevant computer applications