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biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding and
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We are seeking to appoint a new Research Assistant to support our growing programme in tumour immunology and liver cancer. As part of this role, you will be responsible for the provision of research
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of Computer Science (20%). Under the joint supervision of the project co-leads, Dr. Carina Prunkl (Institute for Ethics in AI) and Dr. Jun Zhao (Human Centred Computing), the postholder will contribute
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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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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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Schwarzman Centre for the Humanities. The Fellow will have opportunities to work with the Cultural Programme and the Oxford Research Centre for the Humanities (TORCH) and to make use of the Schwarzman Centre’s
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Danaher corporation and its subsidiary Cepheid. This research is part of the Beacon programme ‘Development and prospective evaluation of point-of-need test for sepsis subtyping based on gene expression
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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The Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from Hyundai Motor Group, the Centre is led by Oxford strategy faculty Rafael Ramirez (Director) and Trudi...
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associated computing code for modelling avian influenza outbreaks in Great Britain (GB). One position will focus on modelling the risk of virus invasions into GB in different locations and at different times