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the issues of plastic waste. Designing-out waste through design for longevity, repair and reuse is one of our major research themes. In 2021 we launched a citizen science project called The Big Repair Project
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis
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apply the Helsinki Discrete Element Model (HiDEM) to simulations of brittle-elastic fracture, calving and retreat at Kangerlussuaq Gletsjer (KG), a large outlet glacier of the Greenland Ice Sheet. Working
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis. The candidate will
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collaborative projects involving large international consortia. Our research is focused on translational research on the genomic and epigenomic characterization of various gastrointestinal cancers (GI), including
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a range of experimental models, collecting data, carrying out analyses, critical evaluations, and producing high quality research outputs. The Research Fellow will work closely with both
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explicit ecological data sets, and an interest in large-scale comparisons involving observational or experimental datasets over space, time and environmental gradients, are essential. Field experience
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of the role The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials