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We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
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(currently £20,780 for academic session 2025/26) per year for 3.5 years. Lead Supervisor’s full name & email address Dr Andrea Laybourn: A.Laybourn@leeds.ac.uk Project summary Metal-organic frameworks (MOFs
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, defensible datasets that can verify precious metal article authenticity. Greater data will enable smart approaches with assigned probabilities of authenticity to aid hallmarking practices. Partnering with
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PhD studentship: Defining the role of the pioneer factor FOXA1 in hormone-dependent cancer Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further
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School of Medicine Closing date: 2 January 2026 Start date: 1 February 2026 Defining mechanisms underlying post-translational modification of airway mucus and the impact on mucociliary function
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industries. Using existing plans, remote sensing and laser scanning field-surveys, they will build lab-based digital replicas of UK post-extractive underground and overground landscapes. Then they will import
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the degradation of trace gases in post-fire soils and whether this process can be enhanced through organic amendments. This project will explore the interactions between pyrogenic carbon, trace gas–oxidising
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. Experience in any of the following will be beneficial: Lab-based experimental work Woodwork, carpentry or other workshop activities CAD and finite element analysis How to apply: Interested candidates should
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic. Modern systems research targets the ubiquitous need for efficient ML. ML research, conversely,...