51 web-developer-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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machines can be designed and built with 3D architectures that enable significantly boosted electromagnetic, mechanical and thermal performance is yet to be developed. The project will motivate the PhD
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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
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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Advanced Fellowship (NIHR304370: Studying the impact of public health policies on dementia risk reduction in the UK using the latest developments in causal inference and a health inequalities approach). The
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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to effectively communicate complex and novel research. Opportunities to develop lab demonstration/teaching experience. The confidence to deal with uncertainty and tackle any problem without a defined final answer
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of experimental modelling challenges and solutions. Advanced programming/data analysis and simulation skills. How to effectively communicate complex and novel research. Opportunities to develop lab demonstration
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of Nottingham but also work closely with collaborators at e.g. University of Cambridge, Newcastle University. The aim is to develop and understand a new reaction scheme for ammonia combustion with reduced
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Advanced Fellowship (NIHR304370: Studying the impact of public health policies on dementia risk reduction in the UK using the latest developments in causal inference and a health inequalities approach). The