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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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to follow this initial post. Applicants should hold a PhD (or equivalent) involving neuroimaging, cognitive neuroscience or a related field. Experience in MEG/OPM-MEG acquisition and data analysis is
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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quality refereed journals and write reports for submission to research sponsors. You must hold a PhD (or be near completion) in a biomedical field of laboratory-based research (ideally immunology and/or
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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conferences • Conduct literature searches and reviews • Attend conferences/workshops and present papers as required You Should Have: • PhD or near completion of a doctoral degree in a relevant
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symposia. These are your qualifications: Must-haves: You have completed a doctoral/PhD degree in Computer Science, Business Informatics, or a closely related field, whereby knowledge of computer science is
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. Attend conferences/workshops and present papers as required. You Should Have: PhD or near completion of a doctoral degree in a relevant subject Recent experience in research within higher education or