565 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
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device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
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arrangement 0.8 (Flexible working opportunities can be explored) Duration March 2026-February 2028 (24 months) Line manager Co-Investigator in the project Direct reports n/a Our website https://sheffield.ac.uk
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, - with a minimum of 14 hours worked on campus. Line manager Office Coordinator Our website https://sheffield.ac.uk/disability-dyslexia-support For informal enquiries about this job contact Mary Jacques
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Arrangements Part -Time. AMRC, Wallace Way, Rotherham, S60 5TZ Monday - Friday, 6:00am - 9:30am, 17.5 hours per week. Line Manager Cleaning Shift Supervisor Our Website http://www.sheffield.ac.uk/efm
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. Essential Interview Manage own time when working on several projects simultaneously, with an ability to prioritise and complete urgent fixes as they occur. Essential Interview Ability to learn new
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Direct reports None Our website https://sheffield.ac.uk/eee For informal enquiries about this job contact Sam Whitehouse, School Technical Manager on sam.whitehouse@sheffield.ac.uk. Next steps in
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Work arrangement Full-time Duration The project must be completed by 30 July 2026. Line manager Professor of Physical Chemistry Direct reports N/A Our website https://sheffield.ac.uk/mps For informal
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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://www.yorkshirebiosciencedtp.ac.uk Project
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, research expenses, and a competitive living stipend. References https://sites.google.com/sheffield.ac.uk/ruth-corps/home View DetailsEmail EnquiryApply Online
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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: Are you