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or supercritical CO2 behaviour. The project will be developed within a vibrant research environment, and may link to a broader programme on high-fidelity modelling for net-zero technologies. Number Of Awards 1 Start
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a
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. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date 1st October 2026
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be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3
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motivated, creative, and curious PhD candidate excited to bridge disciplines and co-develop this research. You will join a collaborative and internationally active Regenerative Engineering Group, with scope
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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problematic for both clinicians and patients. The PhD provides an opportunity to develop novel micro-electronic tags for accurate excision of breast cancer. The research will involve device design and
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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networks. This project aims to develop a strategic planning framework that supports the efficient, low‐carbon, and resilient integration of AI data centres into evolving energy systems. The overarching
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, there is currently no biosensor that can reliably detect key TLS biomarkers. This PhD project will focus on developing novel biosensors that integrate platform sensing technology with tailored electroactive