110 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions at University of Leicester
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commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More
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to respiratory health. You will work within an interdisciplinary environment, co-ordinating management of complex clinical data, developing and optimising AI modelling techniques, and contributing to high-quality
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lifestyle research program whilst being supported to develop their own research to broaden the scope of the research team including the development and delivery of new research activities. The University
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will work under the supervision of Professor Lily Yao. You will support systematic reviews, manage large datasets, conduct economic analyses alongside clinical trials, and develop decision-analytic
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residential estate and conference and events team operations. You will work closely with the Residence Life Manager to ensure the professional delivery and development of all customer-facing operations. Your
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projects, use data and feedback to inform service development, and contribute to the continuous improvement of our international student support offer. Drawing on your understanding of the student lifecycle
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, you will lead the development and application of bioinformatics pipelines for DNA sequencing, contribute to innovative cancer research, and collaborate with a diverse team of scientists and external
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advice activities and of pro bono projects in our community. You will be expected to contribute to the development and enhancement of relationships with external parties to support the student experience
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on jack.sargeant@uhl-tr.nhs.uk Applications for job share will be considered. As part of the University’s ongoing commitment to professional development, this role will also be considered on a seconded basis for
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available through STFC Large Grant funding to the “Planet Mercury: Origins, Evolution, and Interactions” consortium between the University of Leicester, Open University and Imperial College. Further posts