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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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integration of mechanical structures, actuators, sensors, and control hardware, development of control algorithms, and programming for embedded or robotic platforms. You are familiar with modelling and analysis
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methodological innovation and applied problem solving, including novel AI algorithms, hybrid AI-OR techniques, generative and predictive modelling, data-driven optimization, and intelligent decision-support
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for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and
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developing scalable quantum processor technologies to solutions for the quantum-classical control and readout interface, and all the way to quantum algorithms and applications. The long-term mission