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n-type ceramic thin films. These materials will be processed at low temperatures on form-free substrates, with an emphasis on their integration into affordable, wearable healthcare devices. Building
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights
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include an enhanced stipend, working closely with Unilever on industry-relevant challenges, building networks. Moreover, during the PhD the student will undertake several placements (for a total of a three
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disassembly environment for recovery of critical raw materials, key to securing a circular supply chain to support a UK battery industry. As a PhD student, you will work with both academics from the AMT Group
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) are beautiful smart materials that combine fluidity and softness with the structural order of solids. At a basic level, LCs comprise asymmetric molecular building blocks: rod-like, disc-like, box-shaped, bent
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, increasing costs and resource waste. This Ph.D. project aims to address these challenges by advancing fault diagnosis and prognosis (FDP) for complex mechatronic systems. Building on Supervisor Team's
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opportunity to interact with partners from the UK's Food Authenticity Network and to join a wider network of collaborators working to ensure the authenticity of natural products. During your PhD, you will
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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sequences, analyse those data using Bayesian, Maximum Likelihood and coalescence approaches, and build matrices of geolocation and morphological data. The work will be alongside others working on related
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The Department of Sociology, Social Policy and Criminology at the University of Liverpool in collaboration with ForcesWatch invites applications for this fully-funded ESRC CASE PhD Studentship