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. To fill in this gap, in collaboration with industrial partners, the research will develop novel Machine Learning and Computer Vision methods for detecting and localising. These will be used to develop
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team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports Schedule meetings with co-PIs, collaborators on-site or off-site
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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 registered with the GMC, have
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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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, providing information and support to ensure a high-quality admissions service is delivered. Please note, we are unable to offer sponsorship for this position. What The Role Involves: Managing and supporting
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robust data structures, implementing, refining and developing property sub-models and developing a computational framework in response to experimental data. The successful candidate will have demonstrated
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provide specialist administrative support for the Department of Computer Science’s submission to REF 2029. The postholder will ensure relevant information is collected, maintained and reported to deadline
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of the Ecological Citizen(s) Network+ A portfolio of 29 externally funded projects supported through EC funding calls Your work may span physical computing, human–computer interaction, software and hardware
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March 2027 working full-time. This is an exciting opportunity to support our information security programme. We are looking for someone to play an essential role in developing and co-ordinating our
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible