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One of the current challenges in electric vehicle (EV) technology is the development of electromechanical braking (EMB) systems to replace conventional hydraulic brakes and to integrate them with primary regenerative braking. EMBs are highly sensitive to EV harsh operating conditions. This...
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be...
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potential therapeutic landscape for novel therapies in breast cancer, and to propose rational multidimensional biomarkers for combinatorial therapy. We are generating multimodal spatial datasets in cohorts
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theories which do not admit quantifier elimination. Theories in classical logic can be classified according to their combinatorial complexity, via a number of dividing lines which are mostly due to Shelah. A
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the process window for this technique across several materials and to assess the extent to which the patented material properties are realised. To identify the optimal processing conditions, a range of forging
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during inspiration/expiration (b) stratification of patients to identify sub-groups that would benefit most from different HFNC modalities, and (c) optimization of flow rates to individual patient
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to support the optimal delivery of care and antimicrobial stewardship. The work will involve conducting qualitative work, undertaking interviews, focus groups and/or observations to understand how both
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to establish improved, AI-enhanced calibration strategies for diverse industrial and geophysical materials. Ultimately, it seeks to determine the optimal, AI-informed approach for selecting and calibrating