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brain decoding methods and test the extent to which these generalise across brain areas and species. You will be working with an interdisciplinary team led by Prof Andrew Jackson funded by the Advanced
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your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy
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. Watch recordings. Start Date October 2025 or January 2026 Award Duration 4 years Application Closing Date 12th September 2025 Sponsor HydroStar Europe EPSRC Supervisors Prof Elizabeth Gibson Eligibility
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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). Supervisors Primary supervisor: Prof. G.Tasca. Co-supervisors: Prof. J.Diaz-Manera, Dr. S.Cockell. Eligibility Criteria You must have, or expect to achieve, at least a 2:1 Honours degree or international
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project will involve collecting and analysing EEG, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will