416 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"J" PhD positions in United Kingdom
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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are submitted via the same online system as self-funded doctoral programmes. Applicants must clearly state the name of the CDA in their application form, after which Project teams will review and shortlist
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Research theme: Nano and Functional Materials How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition...
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, chemists and computational experts pioneering research using an advanced, optogenetically controlled human-based nerve-muscle model. Using functional, molecular and metabolomics technologies, integrated with
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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One of the essential networks for society is water distribution networks. The delivery of water to customers is affected through different threats to the system. These include failure of components in the system accelerated through the aging of the infrastructure; climate change due to changing...
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, physics, applied mathematics, data science, computer science, food science, microbiology or related fields. Funding This studentship is open to both Home and Overseas fee status students, however we are
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Description: Human-wildlife conflict is widespread, yet current monitoring systems aiming at their reduction remain costly, vulnerable, and difficult to scale. This project will focus on computational and
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on understanding what is essential for multimodal learning when computation, memory, or energy are limited. Rather than scaling up models, the research aims to identify principled, lightweight methods