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Field
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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. Please contact Dr Ben Hicks (ben.hicks@nottingham.ac.uk ) for further
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To Apply Apply via: https://applyto.newcastle.ac.uk/ Course code: 8440F; Reference code: TC120 When asked for a research proposal, select ‘Write Proposal’ and enter the project title (no full proposal needed
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their biosynthetic machinery is the fundamental challenge behind the BBSRC-funded GlycoWeb project. This 4-year PhD forms part of GlycoWeb’s broader mission. Project The PhD project will focus on the organisation
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PhD Studentship: Revolutionising Litz Wire Development for Next Generation Ultra-High Speed Propulsion Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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important topological structures thought to contain the essence of confinement. This project will use a first-principles approach in which large-scale simulations of QCD are performed on a discretised
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well as being the subject of human rights concerns. The discovery and development of new cobalt-free high-energy density cathode materials is of paramount importance. This project will develop and understand new
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become one of the design driving criteria for the infrastructures of renewable energy devices, as they need to withstand these large forces when hit by extreme waves, whilst keeping the cost affordable
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells