493 web-programmer-developer-"https:"-"https:"-"https:" PhD positions in United Kingdom
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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uncertainties make planning and decision-making more complex and difficult to optimise using conventional approaches. This project aims to develop advanced modelling and simulation frameworks to support decision
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. Current pharmacological options are largely ineffective, and their use is limited by maternal side effects and concerns of their impact on the developing fetus. Cognitive Behaviour Therapy for insomnia (CBT
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(such as demand spikes) can threaten the power grid stability. The PhD project will identify and develop solutions to mitigate power grid instability caused by AI data center loads, ensuring resilient grid
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics
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the KBS PhD programme the student will receive support and training in both qualitative and quantitative research methods as part of the PhD. Further information You can email Prof Dirk vom Lehn
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. While we value these core skills, a central part of this project involves advanced technical training. We are therefore looking for a candidate who is eager to develop these competencies further under our
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West Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to work closely with collaborators to develop 2D/3D Nano-Percolation Modelling for Molecular Transport, Thin Film Integration
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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and interests. Possible research directions include constructing multiscale simulation workflows and applying them to materials design, and/or developing and implementing novel machine learning