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The job information is shown below. Please click on the links to see full details. This role is only available to current UWE students. Join our team of Peer Coaches and make a meaningful impact on
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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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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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sections, editing and proofreading. Oversee the effective maintenance of information and documentation for the Grants Team, tracking grant applications and outcomes, creating internal resources on funding
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to transform how we understand and effectively use data across Imperial. What we are looking for: You will support the Service Transformation Team and the wider Transformation Office in a critical role enabling
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for applications: 23/04/26 Interviews are to be held: 05/05/26 If you require further information regarding the post please feel free to contact Kelly Wilkinson, Head of Simulation and Immersive Technology
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for applications: 23/04/26 Interviews are to be held: 05/05/26 If you require further information regarding the post please feel free to contact Kelly Wilkinson, Head of Simulation and Immersive Technology