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Field
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will be implemented and validated in commercial finite element (FE) software. The resulting FE model will define the digital twin of the welded structure and provide the basis for the second PhD project
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, mathematics, physics, engineering, computational biology or a related quantitative field ● Hands-on experience with biological data ● Strong Python skills and experience with PyTorch or JAX, together
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hardware-software design for embedded systems and Embedded AI. Candidates must hold a master’s degree in electrical or computer engineering (or equivalent). Master's students who expect to graduate by
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researcher who holds a relevant PhD/DPhil with post-qualification research experience and a strong lead-author publication record. You will have excellent Python and research software engineering skills
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detailed knowledge of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments
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Admission Requirements Completed Master's degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management
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23rd October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a position as PhD Candidate in AI Driven MAC Control
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using modern software engineering practices. Apply AI methods to whole slide images, microscopy datasets, spatial transcriptomics, and EHR-derived clinical data. Collaborate with multidisciplinary teams
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built in the commercial finite element software ‘Abaqus’ to capture pellet clad interaction in both light water reactors (LWRs) and the UK advanced gas cooled reactor (UK-AGR). Whilst Abaqus offers