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of rotating machines for all industries. You would be working with the research centre in Manchester and the manufacturing site in Slough. Funding Notes The PhD is funded at the standard EPSRC rate (£19,237 in
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nature. Machine learning (ML) tools will be evaluated and developed to simplify and speed-up the analysis and interpretation of the data. These tools will be validated against existing, standardised data
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develop a software to automate data processing, machine learning model selection and optimisation and enable end-users to design and optimise microbial protein solutions with minimal user intervention
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optimized for inference with the architecture and collaborate with project partners involved in the experimental demonstrations of various Machine Learning use cases in the new hardware. You will also have
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science, or software engineering Proven experience with AI methods, including machine learning, data mining, and natural language processing Strong proficiency in Python programming Strong background in data management
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patients' homes, combined with an advanced data fusion and machine learning pipeline. This approach will measure changes in specific mobility-related behaviours over weeks and months, providing critical
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. We provide cutting edge, explainable, interpretable and verifiable machine learning and AI solutions for the next generation of autonomous systems. Our unique research and expertise of designing