58 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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placement within Siemens Digital Industry Software. Project Overview The project focuses on developing and integrating ML techniques to enhance wall treatments for under-resolved boundary layers in
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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a groundbreaking £6 million EPSRC Programme Grant to reduce the soaring energy demands of artificial intelligence . The computational team will work in collaboration with many partners in academia and
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This project will develop and apply spin-polarised scanning probe microscopy to image, understand, and control magnetic order at the atomic scale in unconventional magnetic materials. Using
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happens when these two ideas are unified under a single energy-aware framework. This PhD will develop principled methods for jointly optimising which data and which weights are updated during training
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polymer insulation fails above 200–280 °C, limiting motor performance. Our project objective is to develop durable ceramic coatings via sputtering on metal hairpin windings, raising possible operating
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, and cost considerations. Aim To model and analyse component and system level reliability, availability and resilience of hydrogen systems. PhD project description The proposed project aims to develop a
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or Dr Sanliang Ling and the hydrogen storage team at Nottingham and research labs and partner institutions world-wide. As part of your career development you will be exposed to many exciting fundamental
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institutions world-wide. As part of their career developments, they will be exposed to many exciting fundamental and applied projects that the group is involved with. We strongly support all our researchers
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push the limits of multiphysics CFD for laser manufacturing by developing a next-generation simulation capability for laser drilling (with relevance to additive manufacturing). Your work will capture