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Field
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Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive
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. They should demonstrate hands-on experience in embedded programming (C/C++) for microcontrollers, as well as familiarity with automation tools (e.g., LabVIEW, PLC) and version control systems (e.g., Git
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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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understanding of the underlying physical mechanisms and to leverage this knowledge to develop predictive tools for optimizing the design and control of wind farms. Research scope and responsibilities Depending
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of Biosystems and Food Engineering. Job reference number: 019316 Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie
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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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neutrino astronomy.At its Zeuthens location, DESY has a strong focus on astroparticle physics (https://www.astro.desy.de ). In particular, we host one of the largest groups in IceCube and play a leading role
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
supervisors and academic partners. A demanding research environment focused on publishable results and on the demonstration of unprecedented growth control. Where to apply Website https://emploi.cnrs.fr
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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy