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powerful way to understand and control chaos. By gently coupling a simulation with measurements from the real flow, the simulation can synchronise with reality, effectively reconstructing the entire flow
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, where you can enjoy a fulfilling work-life balance and competitive benefits, including a robust pension plan. Our beautiful, well-maintained campuses provide an inspiring environment for both teaching and
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formal results in distributed control theory and graph theory applied to collective behavior. - Development of techniques based on Lyapunov functions, robustness analysis, and resilience to imperfections
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and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD
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Postdoctoral Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) works at the intersection of AI-driven automation, self-driving laboratories, and scientific discovery, in close collaboration
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solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
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citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/ How will you contribute? The trainee will work within the LIST AI Technical Sandbox
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the University of Manchester, and will deliver the objectives of an EPSRC research grant entitled “Input-restricted robust feedback control of nonlinear dynamical systems”. The recruited applicant will generalise
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Control System (PARCS). Such duties include maintaining and repairing electronic, electromechanical and mechanical equipment and devices related to parking, access control, and revenue control; performing
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the University of Manchester, and will deliver the objectives of an EPSRC research grant entitled “Input-restricted robust feedback control of nonlinear dynamical systems”. The recruited applicant will generalise