645 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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project is developing a special brain implant which works in tandem with gene therapy to stimulate the visual cortex and thus bypass the broken elements of the visual system in various blinding disorders
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applications we also need to know the cross sections at different temperatures and, thus, we need to properly account for the thermal motion of the target nuclei. Due to these issues, we need to develop a
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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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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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that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become
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, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD
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: Designing and developing CAD models of test coupons and other structures Fabrication of ‘green’ test structures and sintering these across a range of conditions Characterising the mechanical properties
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prestigious £8M EPSRC Programme Grant on Advanced Integrated Motor Drives (AIMD), a major research initiative launched in 2025. You will work on the development of wide bandgap device-based integrated motor
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will be provided. Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and
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sensors - if we can control and tune their properties. You will develop and use top-of-the-line machine learning models to predict the sensor response of these materials under realistic conditions