201 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Birmingham in United Kingdom
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processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge
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Job Description Position Details School of Metallurgy and Materials, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting
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programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of
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celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with
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celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with
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Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide
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to communicate complex information clearly Ability to assess resource requirements and use resources effectively Contribute to the planning and organising of the research programme and/or specific research project
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and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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at strain/genomic level, Luminex cytokine analyses Undertake a combination of computational and experimental approaches to study microbiota and RNA signalling across a human time-course interventional study
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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections