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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
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sustainable and optimized processes for vanadium extraction and purification, with the goal of enabling large-scale redox flow battery deployment for energy storage. Scope of Work The successful candidate will
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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13219 Position Summary: We are seeking a motivated and skilled Postdoctoral Fellow to join our research team. The successful candidate will work on optimizing methods for nanofibers extraction from
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crops. Integrates data from advanced control systems and sensors (mass flow controllers, infrared gas analyzers, etc.) with software to optimize plant growth and development. Plans, directs, and executes
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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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applications. These smart winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active thermal control for real-time configuration adjustments
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training an autonomous agent to ‘learn’ a control strategy. This formalism is similar to that of optimal control, with the difference that the agent does not have an explicit model of the dynamics
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, preferably with a focus on batteries, control, or optimization. Preferred qualifications include: Expertise in multi-domain and multi-objective optimization and AI-based control Strong analytical and modeling