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with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business
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research on this topic. Projects have been designed to generate tangible outputs such as published papers, software or data sets within a 12-month period. The fellowship should not be viewed as an
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will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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. Further information about the University can be found here . Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us
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activity across the University. You will be someone who enjoys working at the intersection of systems, data and people, with a strong service mindset and a genuine interest in improving processes and user
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. Further information about the University can be found here . Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us
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Route should ensure they meet the points requirement before applying. Further information can be found on the UK Visas and Immigration website. For further information on the role and to discuss any
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Capacity for innovation, initiative and high-quality scholarly work For the purpose of University role analysis, this post has been evaluated at the level of Lecturer; for further information about this
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal