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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project
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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus
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diseases. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. The research will be conducted using state-of-the-art equipment
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and
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Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
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factors need to be considered when analysing the state of obsolescence for a system. Proposed project This project proposes to develop an obsolescence modelling framework for asset management of railway
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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and management. Proposed project This research, inspired by the philosophy of Reliability-Centred Maintenance (RCM), aims to design innovative frameworks for condition monitoring that optimise data
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NEWBORN – “NExt generation high poWer fuel cells for airBORNe applications” project (https://newborn-project.eu/ ). We are inviting talented students to join the team to develop a real-time digital twin