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will focus on the development of AI-enabled programmable coherent fibre-laser arrays. You will investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled
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We have an opening for a Research Fellow (Transportation) in areas related to traffic operations, traffic control, simulation, and connected and automated vehicles (CAVs). Specifically, we expect
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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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the problem worth your year. Other Info For US Remote/Hybrid: This position requires access to export controlled information. To conform to U.S. export control regulations applicable to that information
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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
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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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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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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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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experience in writing research papers and project reports; (e) have solid foundation of using SPSS / R; (f) have a good command of both written and spoken English and Chinese, with fluency in Cantonese