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/index.php?jobId=29255&jobTitle=Research+Assistant+%28Marie+Sk%C5%82odowska-Curie+Doctoral+Candidate%29 Street South Kensington Campus, London Postal Code SW7 2AZ STATUS: EXPIRED X (formerly Twitter) Facebook
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generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop
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property testing. Cryptography, zero-knowledge proofs, and probabilistically checkable proofs. Locally testable and locally decodable codes. Computational learning theory. Structure-versus-randomness and
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
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industrial project partners, present progress, and maintain clear technical records, code, data and documentation. Contribute to project deliverables for the University of Sheffield work package. Contribute