944 computer-science-programming-languages-"St"-"ST"-"FEMTO-ST" positions at University of Oxford
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a postgraduate qualification with a significant computer science/bioinformatics component, or a degree and professional experience of large-scale IT enterprise solutions. You will be able
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research and communication skills and help you become an independent scientist who can lead their own research program in the future. You will be expected to contribute directly to scientific publications
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audiences and an ability to work well independently using own initiative, as well as part of a team. Experience in a variety of advanced microscopy techniques and computational biology expertise are desired
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, Humanities or other relevant subject. You will have some experience and sufficient specialist knowledge in the discipline to work effectively within the research programme. You will also have the ability
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interesting and varied role with two main areas of work: (1) working to support the development of the Academic Futures programme and scholar cohort, the University’s flagship Graduate Access Scholarship
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Wellcome Trust and by project-specific funding from the EU Horizon programme. As part of a multi-disciplinary research team, you will contribute to analyses of the global food system. Some of the interests
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be reporting to the CRANE Programme Manager. CRANE is an EPSRC-funded national ‘network plus’ designed to strengthen the UK Cyber Security Research Community. It will integrate researchers, business
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with expertise in obstetrics/obstetric medicine to play a senior role in delivering this highly clinically important research programme. The role will give you wide exposure to different research
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initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an understanding
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is