386 Computer-Science-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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Location: 24-29 St Giles’, Oxford, OX1 3LB We are seeking to appoint a Postdoctoral Research Associate to join the Oxford Protein Informatics Group (OPIG) in the Department of Statistics
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computer science. Success in this role requires the ability to engage effectively with colleagues from diverse backgrounds and career stage. If you are still awaiting your PhD to be awarded you will be
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on Physics. SPARC is a new research centre connecting experts across space technology, operations, governance and security. We are founded on the principle of open, rigorous and independent research to grow
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the Department of Anthropology at Durham University. The successful candidate will join a five-year EPSRC Programme Grant project called "Electrical Composites" (EleComp) that involves eleven academics
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in Cultural Heritage Informatics and have experience in semantic web technologies and standards (RDF, SPARQL, OWL), including data modeling and transformation, preferably with the CIDOC-CRM and related
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Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University. The successful applicant will work
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Sciences' Borehole Geophysics Research Laboratory (BGRL), In Maharashtra, India. Working with Dr Davies, you will develop an educational programme and an associated educational game about earthquake and
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Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC
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collaborative research environment, engaging with colleagues across Earth Sciences, Computer Science, Geography, Economics and the Saïd Business School, as well as external academic and industry partners. You
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, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as well as proven competence in