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proteins in bacteria and transgenic plants. For the latter, we are developing hydroponic systems for large-scale, soil-free propagation of plants, and low-cost downstream processing of plant extracts
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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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curating datasets for retrospective AI evaluation to supporting large-scale prospective clinical trials. We have created a large imaging dataset of screening mammograms, CC-MEDIA. It comprises over 250,000
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Primary Care. The Centre carries out research into inherited susceptibility to common cancers and conducts significant large-scale analyses both within the Centre and as part of ongoing collaborations
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implementation of complex processes to coordinate the import, export and transfer of live rodents, and cryo-preserved stocks (embryos and other specimens) to meet research requirements within a large multi-user
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a project aimed at developing more exoelectrogenic cyanobacterial strains. The project involves the creation of large mutant libraries of cyanobacteria and automation of screening for electroactivity
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responsible for co-ordinating two large clinical studies within the CanRisk programme. The first is a feasibility study in primary care that looks to offer breast cancer risk assessments to women in the general
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kidney cancer research. This is an exciting opportunity to contribute to a large-scale, collaborative project investigating the genomic evolution of kidney cancer, using a uniquely rich cohort of patient
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for both Gaia and Plato, including automation, large scale distributed processing, data analysis and data management. The work involves systems analysis, design, implementation, testing, documentation and
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that can only properly be understood when tackled globally. The Fellow in Silk Roads Studies will similarly be expected to ‘think big’ and consider the contemporary resonance of their project. Research