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framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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protocols, and test hypotheses and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological
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biology, -omics, and clinical data to understand the dual role of ion channels in cardiac and metabolic physiology. We are also setting up a small clinical trial. We are a dynamic and international team
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(or thesis submitted and awaiting examination) in Psychology, Psychiatry, Epidemiology, Statistics, Health Data Science, Public Health, Criminology, or a related discipline. Experience analysing large-scale
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, experimental scientists and clinicians What we’re looking for PhD in bioinformatics, computational biology, or related field Experience in analyzing biological data, especially proteomics data Strong knowledge