63 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"L2CM" PhD positions at University of Nottingham
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international interest due to their compatibility with superconductors and topological phases, and their potential for highly scalable, low-energy spintronic devices. While recent studies have demonstrated
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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Doctoral Landscape Awards (IDLA) PhD position at the University of Nottingham addressing the specific engineering details of the wear of articulating splines for aeroengine applications. The successful
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Applications are invited for an EPSRC Industrial Doctoral Landscape Awards (IDLA) PhD position at the University of Nottingham addressing the specific engineering details of the wear of articulating
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. Desirable Skills (an advantage, not a requirement) Data analysis skills in python. An interest in energy policy / the economics of energy. Numerical modelling. Eligibility This studentship is available for UK
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The Manufacturing Technology Centre UK, and the University of Nottingham This project offers an exciting opportunity to undertake industrially linked research with engineering teams
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physiologically relevant models e.g. human airway epithelial air liquid interface using cells isolated from different patient groups combined with molecular biology approaches to mechanistically determine the key