641 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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Application deadline: 30/06/2026 Research theme: Applied Mathematics, Continuum Mechanics, Nonlinear PDEs How to apply: https://uom.link/pgr-apply-2425 UK only due to funding restrictions. The
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transitions Community and regional development Policy, governance and markets Experience of designing and employing qualitative research methods. Excellent interpersonal and teamworking skills https
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Domestic Abuse Plan. Research Questions: How are emerging technologies, such as IoT devices, GPS trackers, AI-generated media, and platform-based tools, used to conduct digital surveillance, harassment, and
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of Medicine (DIDE-SPH), School of Public Health, at Imperial College London. We are seeking a laboratory-focused Research Assistant/Associate in Viral Genomics and Immunology to develop, optimise and implement
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the use of manned boats impractical. To address these problems, an autonomous inspection system needs to be developed. The system should be launched from the shoreline and be capable of autonomously
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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guest exchange (J. Am. Chem. Soc. 2025, 147, 17201 https://doi.org/10.1021/jacs.5c02868 ). It is the aim of this project to use this novel methodology to investigate a range of single crystal-to-single
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specific cellular environments, and improving linker design is essential for next-generation ADCs. This project aims to develop a systematic strategy for tuning payload release rates by modulating
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physical properties can be developed. Applicants must have or be close to obtaining a PhD or MPhil in Computational Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or
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Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based