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, ultimately leading to more accurate diagnosis, prognosis, and treatment planning for cancer patients. Breast cancer research produces complex multimodal data at different scales, including clinical, imaging
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This new role is dedicated to providing tailored, practical support to neurodivergent students (e.g. students with ADHD, autism, dyslexia, dyspraxia, or other cognitive differences) to help them
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
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pivotal role in analysing large-scale genomic and clinical data, applying cutting-edge algorithms, and collaborating with renowned experts in the field. At PBCI, we believe in fostering a collaborative and
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desirable. The ideal candidate will be capable of independent working, show initiative in problem-solving, and adapt flexibly to different working styles. A collaborative and professional approach to team
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and interdisciplinary team that draws on the different experiences of its members. Continuing to build an inclusive culture that supports, encourages and celebrates diverse voices is essential to us. We
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programme. Candidates at different stages of clinical training are welcome to apply but they will ideally have an interest in sub-specialty training in invasive coronary artery imaging. Candidates must be
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courses and Central University teams, external lecturers, and guest speakers) and their differing needs require careful management. Tailoring the development of the service delivery requires awareness
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therapeutic strategies targeted to different patient subgroups. The successful candidate will contribute to an expanding program of research investigating the role of immune activation in the progression