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The successful candidate will benefit from cross-disciplinary supervision by experts in building physics and artificial intelligence. The student will have access to research facilities within the Department
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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Candidate Guidance to provide support on the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your
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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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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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. Who we are looking for Candidates must possess or expect to obtain, a 2:1 or first-class degree in Chemistry, Physics, Materials Science, Engineering, or related physical sciences discipline Funding
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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strictly controlled. More information relating to the manner in which we process your personal data is located within our privacy notice for staff, job applicants and others working at the University
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functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
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desirable but learning can be completed during the PhD. Excellent communication and interpersonal skills to facilitate collaboration within interdisciplinary research teams. Application Process: To apply