565 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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teaching, curriculum development, and engagement with industry practice. You will work collaboratively with the Programme Convenor to enhance student learning and ensure the programme remains current and
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must have an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https
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; what we’re looking for (including our assessment rubric); details of financial support, training, and placement opportunities available; and details of our recruitment process, can be found at https
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opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Sexual selection plays a key role in shaping traits
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supervisors to discuss your background and interests before applying: Professor Matt Carré – m.j.carre@sheffield.ac.uk Professor Tuck Seng Wong – t.wong@sheffield.ac.uk How to Apply: https://www.sheffield.ac.uk
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the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
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across the University estate.This will be an exciting period within the team with opportunities to learn, develop and get hands on with enterprise networking technologies. Main duties and responsibilities
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with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: We invite
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£27,319 to £31,236 Work arrangement Full-time Duration 9 March 2026 to 5 March 2027 Line manager Executive Assistant to Head of School Direct reports n/a Our website https://sheffield.ac.uk/education For
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intelligence (AI) is changing how we understand and improve healthcare. This project will use the latest advances in AI to develop new tools that can learn from many different types of medical information