590 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Sheffield
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, Materials 4.0 and Materials informatics and will support other research areas as required. As part of an integrated team, the RBE Lead will coordinate closely with equivalent functions at Royce Partner
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mechanisms that underlie the first steps of cell dissemination from the primary tumour. This will involve developing methods to live image tumour cell dissemination from primary tumours, and out of a complex
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of such program could be done in case of it was necessary. For instance, for the linkage of new material models or certain numerical features such as a new finite element. This research will benefit from excellent
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, depending on hardware. This is prohibitive for deployment of these methods at scale, and a significant barrier for clinical usage. At this stage of the project, we will aim to reduce computation to minutes
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Digital and sensor based conformance validation for large scale forged components (C4-AMR-Crawforth)
intermediary data streams that can offer insight into how the component and manufacturing process is performing. Within both of the fields of forging and machining there are numerous industry-ready low-intrusive
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Spatially-explicit multi-model ensemble methods for marine ecosystem prediction (C3.5-MPS-Johnson)
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, but current methods are not always efficient or optimal. The process lacks an intelligent, informed approach to selecting the best grinding parameters, which can lead to inefficient maintenance actions
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Programme. The student will join the well-funded and friendly Whitfield lab (see blog). The varied skills training and experience offered in this project will provide a springboard for numerous career
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designing against diffuse pollution. Typically, these processes are studied by laboratory experiments and/or computational fluid dynamics (CFD) approaches, often limited to an idealised patch of stems where a
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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