561 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Sheffield
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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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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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/Interview Further Information Grade 7 Salary £38,783 - £41,064 Work arrangement Full-time Duration March 2026 – March 2030 Line manager Academic Line Manager Our website https://www.sheffield.ac.uk
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; Communicating Data; Data Translation; Data Modelling; Databases and Beyond; Practical Programming for Data Science; and User Centred Design and Human Computer Interaction You will also carry out supervision of UG
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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: This PhD project explores a cutting
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biological, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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, biotechnology and biochemical areas as well as equip you with core data analysis and professional skills that are necessary for bioscience research and related non-academic careers. https
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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: Antimicrobial
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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: How does the brain synchronise
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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