515 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in United Kingdom
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. Project Background This project directly supports QCI3's vision of integrated and interconnected implementations by developing essential benchmarking tools that bridge across all three themes of the Hub
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friendly team of interdisciplinary researchers at the Centre of Global Health Law to work across two of our flagship projects on digital health data. This is also an excellent opportunity for you to develop
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at scientific conferences. Contribution to an impact case study for REF 2029. A strong foundation for future research and development of the Unravel Mini-Lab, including larger-scale clinical trials and
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the University of Birmingham. The studentship will develop structure-property relationships in disordered cobalt-free lithium-ion and sodium-ion battery cathode materials. The cathode represents
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and develop advanced cryogenic power electronics solutions for key net-zero applications such as all-electric aviation and wind energy. This fully-funded PhD project will provide the opportunity
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, disambiguate historical agents, and contribute to collaborative scholarly outputs. You will present your findings at conferences and help shape the project’s intellectual direction and future development. This
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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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interest in social theory to join the workstream ‘Co-creating Concepts of Care.’ The expectation of the successful candidate is twofold: 1) To co-develop and conduct their own PhD project on how racialized
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering