611 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" scholarships in United Kingdom
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technologies. More information about the group can be found at www.ANMSA.com . We are seeking highly motivated, bright and enthusiastic candidates with a strong background in micro/nanofabrication
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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experiencing issues impacting their ability to study, and for colleagues in the department concerned about student engagement. The role requires that you also work with data to identify students in need
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at the College of Optometrists offices in London, with access to their Library and Information Services (including the physical specialist and historic library collections) and to the College’s museum and archives
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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consent for it to share your information with the University of Greenwich. Your household income is below £25,000. More about eligibility and how the fund is paid. If you have not received eligibility
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in advanced experimental techniques, data analysis, and interdisciplinary problem solving at the interface of physics, materials science, and device-relevant functionality. Outcomes will include high
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central role in collecting and analysing quantitative data from employees trialling shorter working weeks. They will examine how working time reduction affects wellbeing and perceptions of work in diverse