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A PhD position is available at the Theory and Foundations group in the Department of Computer Science, University of Warwick, UK. The group works on various aspects of theoretical computer science
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an
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associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing. This project is primarily computational and offers comprehensive
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. road, power distribution). This project will develop new insights into what drives flooding and extreme wind to co-occur on timescales from (sub-)daily to seasonal. Our recent work suggests that
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://www.postgraduate.study.cam.ac.uk/applying/how-do-i-apply . The deadlines for applications vary with the department, so please check what the relevant deadline is with the relevant PhD Supervisor, since some departments have earlier
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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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interactions. Atmosphere-ocean surface heat exchange is highest during cold-air outbreaks and high surface wind speeds and thus often associated with mesoscale weather systems such as barrier winds, polar lows
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University’s efforts to address this challenge by supporting development of an active network Design Tool for low voltage distribution networks. This tool is a key component of the flagship D-Suite project led
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PhD Studentship: The Role of O-glycosylation of the Stalk Region of the Immunoglobulin Receptor GPVI
Background: Glycoprotein VI (GPVI) is the major signalling receptor for collagen on platelets and ligand binding to this receptor results in platelet activation. GPVI is a promising anti-thrombotic
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. translocations) affect the distribution, and thus impact, of such mutations within endangered populations is limited. Addressing these knowledge gaps is important for realising the potential of genomic data in