7,222 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions in United Kingdom
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the conceptual foundations for modern AI, and where the world's first stored-programme computer ran in 1948. Data science and AI are now embedded as a core strategic priority for the university, making this a
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this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self and externally funded students only References M P Williamson, 'Autocatalytic selection as a driver for the origin
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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attacks or data leaks. This is particularly concerning given how widespread and security-critical these devices are: they are used for controlling vital computer systems in many domains, such as critical
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annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value of benefits provided by
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of synchronised states using analytical and statistical techniques. Funding Notes This project is for self-funded or externally funded students only. References 1. Synchronisation of rotating turbulent (https://www
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying References https://sheffield.ac.uk/biosciences/people/academic-staff/claire-turner https://sheffield.ac.uk
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human