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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
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programme. Details of how to apply for the PhD programme are available at this page: https://www.sheffield.ac.uk/postgraduate/phd . When you apply, you should include the supporting documents relevant
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the genetic factors influencing changes in brain structures, using brain imaging, computational and statistical methods of network science. Project Aim: The aim of the project is to uncover the complex
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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the Computational Foundry, a world-class centre for computational research, part-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides
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October 2025. Later start date is possible, please contact Dr Isabella Guido once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme. We are seeking a highly
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homeostasis in the brain with a particular focus on oxygen regulation. Since neuronal computation is tightly coupled with oxygen availability, Isabel is interested in how metabolic mechanisms fail as people age
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contributing to better hazard and risk assessments for decision-makers. This PhD will be part of a broader five-year project funded through the MBIE Endeavor Research Programme, titled, “Hazard, risk and impact
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aesthetic damage, which gradually reduces the overall performance of the building and leads to significant maintenance and restoration costs. While traditional surface treatments are often applied, many