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(pcmlab.co.uk) to develop a prototype tool for utilizing this prediction tool in a clinical environment. About You You will have expertise in deep learning and programming. Experience working with medical imaging
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the use of code repositories and ability to work in a collaborative environment. About the School The School of Physical and Chemical Sciences consists of the Department of Physics and Astronomy and the
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protoplanetary disc properties as inferred by multi-wavelength observations to larger scale environmental conditions in the surrounding interstellar medium. As such, the successful candidate will work on both new
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School The School consists of the Departments of Physics and Astronomy, and Chemistry. It is one of five schools in the Faculty of Science and Engineering. The School is a dynamic environment, home to over
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communication skills, enabling them to engage with the entire research group, presenting research results, and writing research articles. In return, we offer: Access to a world-class research environment
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with large-scale longitudinal datasets to explore gene–environment interplay and developmental risk pathways. The successful candidate will join a vibrant research team based at Royal Holloway
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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environment in a well-established research team working on a variety of high-priority Thoroughbred welfare projects. We offer a generous reward package including: • Competitive and attractive pension
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one of the largest Schools within Queen Mary University of London and is committed to excellence in research and teaching. The Department offers a lively and stimulating environment for staff and
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of current UK ethical approval processes. You will have experience of all aspects of the research environment up to writing for publication, and be able to demonstrate independent working and initiative. About