298 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of London in United Kingdom
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, transition to and through university, and peer support, you will be contributing to our developing academic literacies offer to help all students at Queen Mary fulfil their potential. The postholder will
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other demands About You We are looking for an experienced researcher to develop and deliver projects that leverage whole-genome sequencing at population-scale to identify rare, high-impact variants
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sciences, and be interested in developing their computational skills for genetics research; or (ii) have a degree in a computational subject such as mathematics, statistics, computing or bioinformatics, and
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analysis, organ on-a chip development, small molecules testing, precision medicine trials, and development of a single cell platform. About Queen Mary At Queen Mary University of London, we believe that a
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and developing future cancer researchers through its extensive postgraduate training. About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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responsible for supporting digital learning innovation and development and will support the successful delivery and continual improvement in the quality of the education programmes within the School. You will
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of world-class technical operations that underpin cutting-edge research and development in virtual production, AI, immersive media and converged creative technologies. You will recruit and lead a
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both internal and external requirements. You will enhance the School's academic framework, manage student casework, and lead the development of policies and procedures to maintain the high standards
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About the Role This role will support the Barts Charity Doctoral Training Programme (DTP) that is focused on developing biomedical researchers to address health challenges faced by the East London
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About the Role The primary goal is to manage and coordinate student administration systems and processes to enhance the student-academic cycle of activities, and to develop data driven solutions