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We invite applications for a Postdoctoral Research Associate to work on an exciting new project to address significant mathematical and engineering challenges arising from multidimensional big data
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and educational contributors to early mathematical learning for neurodivergent children. Our focus will be three groups of children with genetic conditions diagnosed early in life (Down’s syndrome
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Head of Development – Mathematical, Physical and Life Sciences (MPLS) – University of Oxford – Oxford – Competitive Salary The University of Oxford’s Development and Alumni Engagement office (DAE
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of Control Engineering, mathematical modelling and Engineering Biology are being sought. The successful candidate will work in collaboration with our interdisciplinary team that includes experts in synthetic
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to deliver the Mathematical Reasoning programme for Year 2 pupils. The project is funded by the Education Endowment Foundation (EEF) and the post-holder will join the interdisciplinary Reasoning First team
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The post is part time (22 hours per week) and available until February 2025 due to parental leave within the team. You will work within the Public Engagement team at the Pitt Rivers Museum to take bookings for school and other public engagement groups. This varied role includes managing...
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an excellent communicator and strong leader to support our postgraduate team, and be committed to delivering an exceptional student experience through first-rate administration of the Mathematical Institute’s
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of the Mathematical Institute’s undergraduate programmes. The department has a large cohort of around 950 undergraduate students, split across four Joint Schools and two Mathematics degree programmes. You will be
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, engineering, mathematics or computational, have experience in the use of biomedical/clinical imaging data, have proven experience in programming (Python preferably) for medical imaging processing and machine
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Hollingsworth’s group is a world leader in the development of statistical, mathematical, and computational models that inform disease dynamics and the translation of outputs to national and global health policy