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Field
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to model long-range dependencies for spatial-temporal 4D semantic reconstruction of videos with multiple interacting people. A novel uncertainty-aware diffusion probabilistic model will learn temporally
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explainable” machine-aided decision support for Safety and Mission Critical objectives e.g. fault detection/tracing, evasive manoeuvring, target selection etc. Detailed semantic understanding of operational
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background, methodological skills, and alignment with the project focus. Submitting an EOI is mandatory. Only those who receive a positive response will be invited to proceed to the formal application stage
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performance and will guide the development of superior CO2 conversion photo/electro-catalysts. Candidates should submit a formal DPhil application (course code: RD_CY1A), following the links by clicking
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. Applications must contain a cover letter, CV, and the names and email addresses of two referees. Short-listed candidates will be invited to then formally apply though our online application system. CLOSING DATE
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. All responses are anonymous. The successful applicant will be expected to apply formally through the University of Cambridge following notification of the interview outcome. All prospective students
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. All responses are anonymous. The successful applicant will be expected to apply formally through the University of Cambridge following notification of the interview outcome. All prospective students
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trials management. Application Deadline: 12th May, 2025 Further Enquiries: Please note that, where a candidate is successful in being awarded funding, this will be confirmed via a formal studentship award
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this stage will be invited back for a formal interview with Sam Wass.
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UK and International tuition fees. Funding for conference travel, lab materials, bespoke training, and test campaigns at national facilities is also in place. The programme also includes formal