6 computational-physics-simulation PhD positions at University of Nottingham in United Kingdom
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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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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
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application. Real-time simulation platform skills development including Typhoon and SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system
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simulations and computer-aided design, as well as training in more general training in scientific communication, project management, collaborative working, and mentoring and leadership. All these skills