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scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only. Fully-supervised AI techniques have shown remarkable success in
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming
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, equitable and truly inclusive university. We are seeking a full-time Research Assistant (“pre-doc”) to work closely with Dr. Eugenie Dugoua on several ongoing research projects at the intersection
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is expected to soon be able to diagnose diseases occurring outside the retina. OCT images can be aberrated by the eye itself and imperfect optical design. Ocular imaging with adaptive optics promises
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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role: This post, funded by an ERC Consolidator Grant (DISCO), focuses on the dynamic behaviour of ferroelectric domain walls using advanced cryogenic and electrically biased 4D scanning transmission
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This post is full-time, hybrid and fixed term for 12 months The Grantham Research Institute on Climate Change and the Environment (GRI), based at the London School of Economics and Political Science (LSE), is
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. If you have any questions about the recruitment process, please contact HR-Advisor Hege Kissten, e-mail: hege.kissten@ntnu.no . Application deadline: 15.09.2025 For practical information about working at