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Enlightenment. For more than 230 years, we have remained true to our founding ethos as a place of useful learning. Today, we are Scotland’s third largest university, with around 30,000 students and an annual
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experience-dependent plasticity. Our research combines structural and functional neuroimaging, EEG/MEG, behavioural methods, computational modelling, automated neuroanatomical phenotyping, machine learning and
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subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/ . DEPARTMENT OF BIOMEDICAL ENGINEERING Assistant Professor in Brain Machine Interface (Ref
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digital learning platform for educators and learners. The role offers an exciting opportunity to work at the intersection of technology, education, and digital innovation. The postholder will be responsible
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to grow by the inclusion of other national partners and universities. This role represents an exciting opportunity by helping to establish ACE (https://www.awe.co.uk/2026/06/awe-and-the-university
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and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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closure • Ride to work and EV car scheme available For more information, please see University of Manchester Benefits . You can also find information on our Flexible and Hybrid working here . We are an open