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novel models and tools to improve cancer early detection. They will contribute to Cancer Research UK and NIHR funded projects, including studies using large healthcare datasets, such as CPRD, focussed
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understanding of cancer risk and developing novel models and tools to improve cancer early detection. The successful candidate will contribute to Cancer Research UK and NIHR funded projects, including studies
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) of the University of Cambridge. Why can we easily notice a friend in a crowd and say 'Hello'? Previous neurophysiological studies have revealed how visual inputs are analysed, memorised and recalled, but how
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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting
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for creating an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us
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each responsible for creating an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham
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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us
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infrastructures. A solid background in beam dynamics in synchrotrons and the corresponding numerical modelling is required. Applicants should have the ability to identify research objectives and subsequently
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of translating discovery science into therapeutic applications for cancer patients by enabling effective collaborations between scientists and clinicians to improve cancer detection and treatment. A primary focus