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Field
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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Area Engineering Location UK Other Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and
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realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying system behaviour under various conditions
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aims to develop a novel theoretical framework for nonlinear and robust control of dynamical systems from a phase perspective. You will have the opportunity to freely explore multiple research directions
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performance and mitigate injury risk. We will address these research questions: What is the current evidence-base for injury risk mitigation strategies in full-time female football players? What
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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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affect ignition behaviour. You’ll use advanced tools such as chemical kinetic modelling, multi-dimensional CFD simulations, and collaborate closely with experimental researchers. You will receive
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other onboard systems, providing a realistic environment for research and training. SIU 737-200 ECS: A ground-based Boeing 737-200 Environmental Control System used for simulating faults and studying
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called glueballs and the temperature effects of confinement. The project will be based on performing computational simulations and theoretical calculations of QCD. It will involve applying quantum field
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support commercialisation of a simulated autonomous road maintenance vehicle. Study CAV interfaces and propose and design a standard API for the cloud-based platform. Key Competencies: Strong analytical and