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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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, 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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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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Contract Type: Fixed Term - from 5 August 2026 until CCT date + 6 months Job Function: Doctor in Training Job Description The Universities of Edinburgh and Glasgow and the Cancer Research UK
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-performance computing (HPC) facilities and finite element codes. Project findings could have a notable impact on the deployment of green hydrogen infrastructure, as needed to achieve net-zero carbon ambitions
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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,...
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Surface features are important in additive manufactured parts. While Additive Manufacturing technology has made great strides in the realisation of complex shapes and tailored topologies, it still lacks good surface finishing quality. This project will investigate the science behind titanium...
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certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming