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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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a PhD in Physical Sciences or a closely related field, and you will have a background in crystallisation and solid state characterisation. Knowledge of databases, and python coding is a must. The key
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useful in practice. The Project Team: The research assistant will join a vibrant research group in the field of neurodiversity (inc 15 PhD students, 2 research staff, and 10 academic staff). They will be
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, WEAVE, Euclid, LSST, JCMT, HARMONI, and e-MERLIN collaborations and surveys. We are part of the Virgo Consortium and host extensive supercomputing resources, including the `Cosmology Machine', some of
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will contribute towards the Continuing Professional Development of relevant practitioners, as well as provide key learning resources for interested parties. The successful applicant will be expected
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a PhD in Structural Geology or related discipline, including experience of fracture description and statistical analysis methods. The intended start date is April 2026, or as soon as possible
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effects of training on attendees' practice and effects on service users. The successful candidate, supervised by Professor Lore Thaler, will assist with the delivery of training to teach echolocation and
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Professor Lore Thaler, will assist with the delivery of training to teach echolocation and echolocation instruction to visual impairment habilitation workers and to people with vision impairments. Planned
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' narratives by tracing the histories of how weeds arrive in particular places; a decolonial ecology that challenges Western narratives and explores alternative ways of thinking and living with weeds by learning