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Falls Posting Context Statement Position Overview Lead research projects focusing on developing and optimizing network protocols for power systems. Explore innovative applications of AI in modeling and
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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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) with plenty of cultural and leisure activities. INTERESTED? How to apply You should apply via https://jobs.idlab.ugent.be/en/ph-d-hardware-aware-control-algorithms-for-robot-reflexes For more information
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This doctoral position is part of WindConnect ("Wind farm control and integration in sector-coupled power systems"), a prestigious Horizon Europe Marie-Skłodowska-Curie Action (MSCA). The project addresses
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Position: Analyzes building automation and control systems to achieve optimal operation or energy efficiency. Will make recommendations for modifications based on analyzation of systems. Performs
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of experiments under control or supervisory responsibility. 2. Recommends changes in testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research equipment
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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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R260014 Posting Link https://www.ubjobs.buffalo.edu/postings/60709 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.7 Posting Detail Information
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duties concerning specific clinical research studies. Job Responsibilities Ensures optimal quality of medical care for patients participating in study; uses ethical conduct as established for healthcare
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in the tramway network of the city of Palermo. The main objective is to design and validate advanced control algorithms capable of optimally managing the power flow between the DC traction network