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to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors and tested against the relevant protein as a proof of concept. This is an opportunity to join a
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no holistic framework for planning their integration into future energy networks. This project aims to develop a strategic planning framework that supports the efficient, low‐carbon, and resilient integration
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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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of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop a computationally efficient framework for the real-time prediction of river water
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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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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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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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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to address climate change. To bridge this gap, this project will characterise wildfire charcoal from historic fires with known ages (years to decades to 174 MA old) to examine compositional evolution and