565 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions at University of Sheffield
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. Manage distribution and return of keys/fobs for accommodation buildings including cycle storage and car parking permits. Support the management and auditing of 9,000 building keys, including daily and
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recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project Background : The world is experiencing an unprecedented biodiversity crisis, driven by climate and land
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, staff and external examiners. Work with the Digital Learning Advisors to update digital learning tools with relevant information about curriculum and assessment Encourage and support the ongoing
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, combining the radio frequency (RF) circuitry of a transceiver with the digital processing needed for machine learning, all in a single microchip. Next generation wireless devices will not only send and
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-status students only. References https://high-energy-theory.sheffield.ac.uk/open-positions/phd-opportunities View DetailsEmail EnquiryApply Online
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(minimum 50%) Duration Fixed-term six months, with a potentially longer contract if part-time hours are agreed Line manager Professor Dan Cogswell Direct reports N/A Our website https://www.sheffield.ac.uk
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massive farming data over long-time scales. These long-term farming data brings more opportunities on leveraging emerging machine learning methods to examine the effects of multiple factors on crop growth
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September 2028 Line manager Professor of Algebraic Geometry Direct reports N/A Our website https://sheffield.ac.uk/mps For informal enquiries about this job contact Professor Evgeny Shinder, Professor
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(pro-rata) Work arrangement Part-time Duration 01/02/2026 - 30/09/2026 (flexible upon discussion with successful candidate) Line manager Principal Investigator Direct reports None Our website https
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. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes The PhD project will be open for UK home students. References 1. Wilkinson SM et al