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Please note, this vacancy is open to current University of Glasgow employees only Job Purpose This role supports the University in contributing to a student centred and wellbeing focussed learning
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Hours per Week: 14 Interview Date: Monday 11 May 2026 We are seeking an inspirational academic leader and role model to develop and deliver the School's Accreditation of Prior Learning (APL
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liveability and lived/living experience. More information about the project can be found here https://blogs.ed.ac.uk/discovering-liveability/ . The University of Lincoln supports hybrid working (on a non
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connectivity and network neuroscience measures? Can machine learning models trained on high-quality clinical data be adapted to work effectively with lower-quality data from community settings? For more
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accepted all year round Details The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate
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hours per week during full term). For further details about the teaching of English at Magdalene see: https://www.magd.cam.ac.uk/study-magdalene/undergraduate-study/subjects/english For further details
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health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/ Queen's University is committed to promoting equality of opportunity
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: https://www.gov.uk/skilled-worker-visa For more information and to apply please visit: https://www.jobs.gla.ac.uk/job/research-associate-5827722?source=gla.ac.uk Closing date: 29 March 2026 at 22:45 It is
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and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In