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Field
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Imaging of Materials Facility (AIM ) led by Professor Richard Johnston and Swansea University's Simulation and Immersive Learning Centre (SUSIM ). The student will develop novel medically bespoke protocols
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is a collaborative studentship between the University of Edinburgh and the National Physics Laboratory (https://www.npl.co.uk/ ). The position will be registered and hosted at the University
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to water, with the Zinc acting as the anode and hydrogen evolution potentially occurring at the steel surface. The successful PhD candidate will work at the forefront of hydrogen materials research, with
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very well the behaviour of these cryogenic hydrogen pumps, in order to master their integration into the hydrogen system. The primary objective of this research in collaboration with Airbus is to develop
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to develop novel, bio-inspired neural networks that flexibly and robustly control locomotion in multi-limbed robots. "Self-organised clocks for reliable spiking computation" (Supervisor: Prof Timothy O'Leary
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Deadline: 21 August 2025 Details Project type: Academic-Led project Supervisors: Dr Ning Ma and Professor Jon Barker, University of Sheffield Project Partner: Yorkshire Ambulance Service NHS Trust Your PhD
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annotations are scarce or unreliable. Recently developed unsupervised learning methods allow to circumvent this limitation by learning patterns in unlabelled medical images and then leveraging them
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, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where annotations are scarce or unreliable. Recently developed unsupervised learning methods allow
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third over the past 25 years, which is inferred from sparse soil data and the widespread decline of their avian predators. Recent developments in soil geophones and contact microphones have enabled
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- HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a fundamental understanding of the reinforcement mechanisms enabled by FGA-1, including its impact on application