290 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions at University of Cambridge
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initiatives Cutting-edge research in: AI-driven medical imaging & data analytics Smart healthcare for aging populations Biomedical sensors & intelligent diagnostics Ion channel-targeted drug development Impact
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Departments within the University's Schools. The role provides an excellent opportunity to develop a career in the area of research administration. Your key responsibilities will be: Providing procedural and
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disorders, using these datasets to build models of neurodegenerative tauopathies, and building a framework for the development and implementation of machine learning models. The applicant will join a friendly
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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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, on a new project to develop an in vitro model of the gut-brain axis. This interdisciplinary research aims to enhance our understanding of the role of the microbiome in health and disease by integrating
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entrepreneurship and intrapreneurship, with a sharp focus on the development of high-potential technology innovation into a commercial proposition and prioritising "high potential" business cases. Since 2017
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Ministry, with significant professional experience and widespread networks in the field, who can support others in developing skills in good practice in working with young people. This includes working with
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Phenomenology. Members of the group with interest in this area include Professor Ben Allanach and Professor Maria Ubiali. Duties will include developing and conducting individual and collaborative research
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College London, the University of Cambridge, Cardiff University, Edinburgh University, Imperial College London and King's College London. *Cambridge * Developing new treatments that can prevent the onset
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one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational