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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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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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Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
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Overview: Air quality is a major public health issue worldwide. Two origins are identified for pollutant particles that emanate from passenger cars: those coming from the exhaust (linked
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expected to work as part of a wider research team, and to develop strong links with colleagues located at the Malaysia and Scottish campuses, as well as with those partners and collaborators related
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-error approach due to a lack of comprehensive hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve
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, especially within the cancer domain. The goal is to identify causally relevant links between tissue morphology and molecular profiles, potentially leading to new biomarkers or therapeutic targets. Objectives
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current
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aligned nations may face considerable challenges. How to apply For further information please contact: Name: Enric Grustan-Gutiérrez Email: e.grustan@cranfield.ac.uk If you are
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make