591 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" Fellowship positions in United Kingdom
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of Electronics and Computer Science at the University of Southampton as part of the group of Prof. Kees de Groot and Dr Ruomeng Huang. This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source
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of Electronics and Computer Science at the University of Southampton as part of the group of Prof. Kees de Groot and Dr Ruomeng Huang. This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source
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individually, make a real difference. The role The main purpose of the job is to undertake research and support the delivery of the OSMOSIS research programme as required. OSMOSIS is funded by the National
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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We are looking to appoint a postdoctoral researcher with experience and expertise in nanoelectronic device fabrication, to be based in the School of Electronics and Computer
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changing environmental demands. This position forms part of the Wellcome Trust Discovery Award programme “Decoding Competition in the Brain”. The programme is driven by recent advances revealing how
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under the BBSRC’s Prosperity Partnership programme, a collaboration between Cranfield University, LIPTON Teas and Infusions, Browns East Africa Plantations and the UK Tea and Infusion Association
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environment for multi-disciplinary research and teaching. The NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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. The post-holder will be responsible for bringing forward an innovative programme of work to investigate the impact of the OptiMAx programme through mixed-methods process evaluation and gender analysis