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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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bit-rate communication across a metal barrier. As a Research Assistant, you will assist in the delivery of the research activities as part of a team, working under the general supervision of senior
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health economic methodology. The doctoral research will be supervised by experts including Dr Stephen Bradley (senior clinical lecturer), Prof Nick Latimer (Professor of health economics), Dr Meena Rafiq
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considered. Duration: 6th October 2025 to 30th March 2029 (assuming full time) Line manager: Senior Lecturer Direct reports: N/A Our website: https://www.sheffield.ac.uk/smph/academic-unit-primary-medical
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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day-to-day, supervised by the project lead and other senior team members, and with some help from another research assistant. This involves liaising with patients to arrange their (online) clinical
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Programme: Hybrid CFD and process simulation for process intensification of post-combustion CO2 capture School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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of senior researchers and will perform research necessary to fulfil the objectives of the Project Identification of therapeutic targets in MNX1-rearranged infant Acute Myeloid Leukaemia, externally sponsored