604 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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at the intersection of molecular biology, computational science, and translational oncology, contributing to cutting edge research in the pathology of head and neck cancers. Led by Professor Ali Khurram
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD, or be near completion, in the field of engineering, physical or mathematical
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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to develop and validate paediatric bone models through a combined computational and experimental approach, in collaboration with clinical partners at the Sheffield Children’s Hospital. The ideal candidate will
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Computational analysis of the flow through aerofoil cascades School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof
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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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collaboration with Dr van Eeden group at the University of Sheffield. Applicants must hold a PhD in a subject related to cancer cell biology along with experience 2D and 3D tissue culture models, cell-ECM
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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experience, leading to timely achievement of their apprenticeship programme. The Engineering Skills Coach will be responsible for the delivery of any CPD programmes, within their specialist area, which