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learning called Machine Listening. The PhD project brings together world-leading audio experts to develop state-of-the-art techniques as a widely-applicable embedding of acoustic environments. Based in
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. This PhD project will take advantage of recent developments in machine learning methods, to enable computer modelling of the mechanical behaviour of titanium alloys to produce a machine learning-based
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EPSRC CASE Studentship. University of Sheffield and Syngenta Crop Protection Machine learning is increasingly used for decision making and molecular design in the pharmaceutical and crop protection
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Award summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate) Overview One of the main issues with machine learning algorithms is that
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PhD Studentship in Computer Science: AI and Machine Learning Explainability Award Summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate
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This 4 year PhD project is funded by EPSRC (funding from Materials 4.0 CDT and Rolls-Royce Submarines). The funding is for UK students only; tuition fees will be covered and you will received a
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Applications are invited for a PhD student to work on machine-learning guided and verifiably correct code generation. Creating optimised libraries is a difficult and time-consuming task, requiring
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Funding providers: Swansea University's Faculty of Science and Engineering Subject areas: Computer Science (Machine Learning/Pattern Recognition applied to molecular cardiology) Project start date
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Machine Learning. Candidates must have an MSc at distinction level (or equivalent) in applied mathematics, numerical analysis or similar and be eligible for UK fee status. Candidates should have a solid
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. Computer programming in R, Python or STATA English Language requirements: IELTS 6.5 overall (minimum of 5.5 in all other sub-skills) Desirable: Masters in AI or Machine learning would be advantageous How