556 web-programmer-developer-"https:"-"https:"-"University-of-Cambridge" PhD positions in United Kingdom
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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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for engineering novel antimicrobial peptides. The findings could lead to the development of new therapeutic scaffolds with applications in infectious disease, biotechnology, and immunotherapy. The project also
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techniques. The findings will lay the groundwork for clinical application and contribute to the development of targeted therapies for resistant bacterial infections. Approach and Methods Atomic force
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exotic crystalline structures that remain poorly understood despite extensive experimental investigations. This project combines cutting-edge sampling techniques with developing machine-learned potentials
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of architecture standards and inform training and development of the systems modellers of the future. Programme and Location: The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems
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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