583 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of Sheffield
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Machine Learning techniques. As Research Associate you will have a research leadership role in the group, and will assist in day-to-day supervision of post-graduate research students. You will collaborate
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of the resultant analysis. This will also involve the collection of a curated data set, and the use of Machine learning tools to further enhance the analytical process. Together, this will help expand the use
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website https://www.sheffield.ac.uk/cmbe For informal enquiries about this job contact Professor Ipsita Roy, Professor of Biomaterials: on I.Roy @sheffield.ac.uk . Next steps in the recruitment process It
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: A central question in the study of
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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on the research conducted as part of an NIHR funded grant which comes to an end in July 2026 “Improving access to cervical screening for physically Disabled people” (https://www.dev.fundingawards.nihr.ac.uk/award
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the ability to learn new software. Essential Application/interview The ability to handle, manipulate and interpret large data sets, and to work to the highest degree of accuracy with attention to detail
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with an appreciation of longer-term implications. Essential Application/interview Willingness to update and acquire new skills and knowledge in line with advances in the relevant subject area, including
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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Overview You will be at the heart of delivering critical IT networking infrastructure and services to all students and staff across the University that enable world class research, learning and