598 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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This studentship aims to develop valid and high-fidelity immersive simulations to support the transfer of performance to competitive sporting environments. Immersive simulation is widely used in
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networks. This project aims to develop a strategic planning framework that supports the efficient, low‐carbon, and resilient integration of AI data centres into evolving energy systems. The overarching
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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections
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supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB) involving a range of partner organisations. NWCAM2 is an initiative seeking to help small and medium sized enterprises
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University and based full-time at the university. Alongside formal research training/activities, the doctoral researcher will have the opportunity to spend time at Mars’ facilities, develop a strong
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, there is currently no biosensor that can reliably detect key TLS biomarkers. This PhD project will focus on developing novel biosensors that integrate platform sensing technology with tailored electroactive
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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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simulation runtimes. During the PhD programme, a student would be expected to explore and analyse the limitations of possible solutions for parallel simulation of massively multicore computers. During
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. There will be scope for both observational and theoretical work, as we develop ever more sophisticated reverberation mapping models that account for general relativistic and radiative transfer effects, and
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instrumentation of the structure, whilst effective, can be logistically expensive to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect