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the selected candidate to lead and pursue high-quality research on intelligent transportation systems, including but not limited to: • Traffic flow theory, • Traffic control in urban and highway contexts
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-NEA-2026-0373 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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We are a frontier artificial-intelligence laboratory, still in stealth, established for a single purpose: to build an AI capable of original discovery — a system that does not merely retrieve and
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development in grid-forming converters, power electronics, and advanced energy systems. The role involves the design, modelling, control, implementation, and experimental validation of grid-forming power
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transfer and stacking of 2D materials to achieve twist angle control Qualification and Requirements: • The candidate should have a PhD degree. • The candidate should have a strong track record in 2-D
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relating to Control of Export of Strategic Goods, Services and Technology . Appointment is made by the University of Agder’s Appointments Committee for Teaching and Research Positions. A background check
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optical test setups and characterizing integrated photonic devices is highly desirable. Responsibilities Lead the design and simulation of silicon photonic devices, waveguides, mode converters, optical
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, Automatic Identification System data, or airspace-capacity modelling would be beneficial. Experience Experience in developing learning-based model predictive control algorithms in simulation. Experience in
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and
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motivated Research Associate/Fellow in Electrical Machines to join the University of Nottingham's Power Electronics, Machines and Control (PEMC) group — one of the UK's largest and most ambitious research