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at the UKRI rate (currently £21,805). The Faculty of Science AI DTC is an initiative by the University of Nottingham to train future researchers and leaders to address the most pressing challenges of the 21st
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struggles to reflect real-world situations where people actually experience the products. This PhD aims to change that by using immersive technologies such as virtual reality (VR), mixed reality, and
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, which has an impact on both the individual and health care providers, and can also be a financial burden. However relatively little is known about risk factors for both suffering the injury and recovering
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Applicants This opportunity is for home fee status candidates only. You can find the rules for home fee eligibility here Contact information For academic enquiries about this project contact Gordon Airey
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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of society’s most pressing global challenges. PhD projects are available across the School’s three strategic research priority areas: Chemistry for Energy, Environment and Sustainability, Chemistry for
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industry to address challenges in the science and technology of atomically thin semiconductor for low-energy-consumption electronics. Informal enquiries about this studentship can be made to Prof Elena
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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of whom should be their most recent academic supervisor (or line manager in relevant employment, if applicable). Please note, offers of study will be subject to 2 satisfactory references being received
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@nottingham.ac.uk . The email subject line should be: “HEALTH OF ADULTS PHD APPLICATION”. Candidates should also provide the contact details for 2 referees, one of whom should be their most recent academic supervisor