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://www.lboro.ac.uk/international/applicants/english/ ). Funding information: Studentship type – 50% external partner matched with 50% University. The studentship is for 3 years and provides a tax-free stipend of
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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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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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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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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
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. The student will perform ‘big data’ analysis of patient cohorts including time-based evaluation of the impact of introducing CT-FFR as a national health intervention into a healthcare system. Exploratory
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Macroscopic Quantum Optics (MQO) Group at the Department
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: £37,174 - £45,413 Fixed-term: The funds for this post are available until 10 June 2028 in the first instance. To apply online for this vacancy and to view further information about the role, please click
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information about the role, please click the 'Apply' button above. To apply for this vacancy, you need upload two (2) CVs (Curriculum Vitae) in different formats: a Narrative CV and your standard CV (full