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available, tailored to the needs and aspirations of the successful applicant. More information on the academic supervisor and EDC collaborations with JLR is available here: https://www-edc.eng.cam.ac.uk
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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limited to, disease detection in chest radiographs and cancer detection in digital mammography. For further information on Prof Ben Glocker’s research, please see http://wp.doc.ic.ac.uk/bglocker/projects
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working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to applicants eligible for UK home
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scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with
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at jun.jiang@imperial.ac.uk Further information on research in mechanical engineering at Imperial College London can be found at: https://www.imperial.ac.uk/mechanical-engineering/research/ and details
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energy data. The skills they will develop will be highly sought after both in university research on energy modelling and as a practising engineer in industry. The profitability and sustainability of many
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and