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expand on some aspects of these studies. PhD description: The project could use different methods to address differing aspect of this topic and could be reliant on both the interest of the student and
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, is needed. The project will motivate the PhD student to develop next generation electric motors with advanced CNT windings for electric vehicle traction and aerospace propulsion, featuring improved
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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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PhD Project: 3D-Printed Drug Delivery “Microbots” for Personalised Healthcare Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing
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Department: Faculty of Science AI Doctoral Training Centre The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry
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PhD Studentship: Reliability and sustainability of packaging for cryogenic power electronics This exciting PhD opportunity is jointly hosted by the Power Electronics, Machines and Control (PEMC
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We are looking for an outstanding PhD student with either strong background in computational modelling or significant experience of laboratory work, who is keen to work at the interface between
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for sustainable energy. Right now, there’s no fast, reliable method to predict how novel feedstocks split into valuable products like biochar, bioliquids, and gases. This PhD gives you the chance to change that and
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Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 36-month PhD studentship will contribute to cutting-edge advancements in automated drug discovery through
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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