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The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. We are...
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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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will be responsible for the administration of the Mathematical Institute’s undergraduate programmes. The department has a large cohort of around 950 undergraduate students, split across four Joint
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multi-disciplinary team of biological, computational and mathematical researchers by curating and processing raw ‘omic and spatial biology data and performing hypothesis led and hypothesis generating
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and finance. The postholder will interact with members of Theoretical Physics, the wider Physics Department and the Mathematical, Physical and Life Sciences Division. We are looking for an experienced
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). The post is funded by BBSRC and is fixed-term for 18 months, expected to start on the 1 of November, 2024. You will be joining a team to carry out both experimental and mathematical modelling research
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guidance and supervision of PhD/Masters students in the group. You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist
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, Computer Science, or related discipline. The successful candidate will possess a strong background in Biology, Statistics/Mathematics and/or Computer Science. Extensive experience in software and algorithm