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and specialising in flood-risk evaluation, geohazard assessment, and sustainable drainage solutions across the UK, China, and Australia. This research develops a data-intensive, AI-driven framework
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the environment (mobile EEG and VR). The PhD student is welcome to work on one (or more) of the three aspects of the research programme, and I am open to discussing PhD student interests related to these research
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the recruitment process. Further details about eligibility and funding can be found at: https://www.ukri.org/councils/esrc/career-and-skills-development/funding-for-postgraduate-training/eligibility
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increasing pressure to reduce its carbon footprint while ensuring long-term performance of infrastructure, particularly in environments that accelerate material degradation. This PhD aims to develop and
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also throughout the development phase, which involves transforming a molecule into a medicine and addressing various chemistry, manufacturing, and control (CMC) challenges. A key aspect of this process
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their properties, as well as develop ways to manipulate and advance the nano-assembly processes. You would also be involved in scale-up on roll-to-roll pre-pilot kit, to explore applications for these advanced
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both chemistry and biology to explore fundamental mechanisms of genome function (http://www.balasubramanian.co.uk ). Our projects involve developing and using cutting edge technologies in chemical
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to quantify the phase fractions and lattice parameter evolution, which in turn will allow quantification of the phase transformations taking place. This approach has advantages over other methods as it utilises
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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target, since all known treatment resistance mechanisms are downstream of, and dependent on FOXA1. However, FOXA1 has been a difficult protein to study for technical reasons. We have developed a novel tool