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webpages: https://sites.google.com/sheffield.ac.uk/fagan-lab/ https://thomaslabyork.weebly.com/gavin.html Institutional entry requirements for PhD: For entry into this PhD programme you should hold, or
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students
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Assessing the circular economy and regenerative design of the built environment (C3.5-MAC-Densley Tingley) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition
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Reimaging the Chemical Industry with Process Optimization (S3.5-CMB-Gopinath) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students Worldwide Dr
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Competition Funded UK Students Dr Marco Fazzi
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Photonics for the scale up of quantum sensors (S3.5-ELE-Smith) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Joe Smith, Dr Kristian
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Sustainable Fertilisers for Food Supply Chain Resilience (C3.5-CMB-Styring) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students Worldwide Prof
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degree and a Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Chemistry, Computer Science, Earth Science, Engineering, Physics, or Mathematics and
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an engineering discipline, computer science or mathematics (or equivalent experience). Essential Application Have a PhD or be close to completion (or have equivalent experience) in computer science, engineering
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Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline: Applications