334 parallel-computing-numerical-methods-"https:" positions at University of Sheffield
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Numerical Simulation of Concrete Fracture under Extreme Conditions using Phase-Field Methods School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr G Torelli
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several technical challenges. Firstly such process is of a multi-physics nature and requires coupling of different numerical methods: the deformation in SFCs is dominated by shear flows, and typically
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Data-Driven Numerical Modelling of Material Behaviour for Finite Element Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr G Torelli Application
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Data-Driven Numerical Modelling of Materials for High-Temperature Nuclear and Energy Applications School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr G Torelli
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an interest in quantum computing; specialist experience in every aspect of the project is not expected. Training will cover quantum algorithms, numerical methods and error correction, preparing you
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Application Deadline: 28 September 2026 Details The aim of this PhD project is to develop quantum computing and AI methods for mRNA structure prediction, in collaboration with a large pharmaceutical company
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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and in which vacuum states were constructed. The results will be compared with those for a charged scalar field [2]. The second part of the project involves computing the renormalized expectation value
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Spatially-explicit multi-model ensemble methods for marine ecosystem prediction (in collaboration with Cefas) (C3.5-MPS-Johnson) School of Mathematical and Physical Sciences PhD Research Project