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funded by UKRI EPSRC and is fixed term for 12 months. You will be contributing to joint UKRI EPSRC – NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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haematology, supported by world-class facilities, access to deeply phenotyped clinical cohorts, and a strong collaborative network. You will hold a relevant PhD/DPhil, together with relevant knowledge in normal
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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for network constraints and uncertainty. Collaborating with other researchers on the project, you will also contribute to the design of a supporting cloud-to-edge computing architecture and profit-sharing
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tutoring of undergraduates and graduate students. Applicants should hold a PhD, or be close to obtaining of one, in physics or a related field and have a background in computational plasma physics
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computational modelling using artificial neural networks. It brings together teams led by Mohamady El-Gaby (Oxford Experimental Psychology), Matthew Nour (Oxford Psychiatry), Rick Adams (UCL), and Maria Eckstein
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Alliance. Other duties will include contributing to community activities such as seminars and networking events and developing skills in many areas of computational biological research via independent study