518 computional-geometry-algorithm positions at University of Oxford in United Kingdom
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The Department of Statistics and Jesus College intend to appoint to the Professorship of Statistics as soon as possible. The Professorship of Statistics is at the heart of the University of Oxford’s continuing tradition of excellence in the subject. The Professor will be expected to provide...
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The Department of Statistics and St Anne’s College intend to appoint to the Professorship of Statistical Science as soon as possible. The Professorship of Statistical Science is at the heart of the University of Oxford’s continuing tradition of excellence in the subject. The Professor will be...
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Laboratory and the Computational Cognitive Neuroscience Laboratory respectively, the post-holder will carry out research supporting the laboratories’ interests. The role will involve a range of activities
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to enable the delivery of objectives. • Strong oral, written and electronic communication skills. • Ability to plan workload and deliver on projects. • Excellent computer skills, including Word and Excel
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). The position is fixed term for 18 months with funding provided by EPSRC through the NWTF+ programme. You will share responsibilities for the design, procurement and installation of a major multi-million-pound
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person Strong organisational skills and attention to detail • Good computer literacy (including Word and Excel) The ability to manage competing tasks with confidence and care Sponsorship and Right to Work
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on characterisation of in vivo models of myeloid neoplasms and
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Calinescu and Prof Doyne Farmer. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford. The project is intended
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/ computational biology / life sciences discipline, or relevant field such as computer science, mathematics or statistics. You will have substantial experience in the analysis of large datasets, which will allow
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service, Disability Advisory Service, Peer Support Programme, Mental Health Awareness Training and Reported Student Service, all aimed at supporting the wellbeing of our students, and equipping colleagues