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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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a relevant subject (epidemiology, biostatistics or big data) and have experience of working with Swedish population registers on epidemiological studies. You will possess sufficient specialist
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on a large library of Splash BI reports. Location: Great Clarendon Street, Oxford With the option of some hybrid/remote working Salary: £34,982 - £40,855 with a discretionary range to £44,382 per annum
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for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities requiring a rapid turnaround
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growing communities of alumni and elumni (participants of our online programmes). From online networking sessions and hybrid masterclasses to large-scale international gatherings, you'll play a key role in
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Join the team that has recently gained large recognition due to the unprecedented speed of activity in the race against the global threat to human health that is coronavirus. With over 25 years
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and disease. You will collaborate with the Dendrou lab at the Kennedy Institute and also the Haniffa lab at Sanger Institute. You will analyse large-scale single-cell and spatial genomics datasets
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approaches when working with families, professionals and teachers to best support neurodivergent children and young people in different settings. You will be responsible for data collection using quantitative
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cancer. You will play a pivotal role in discovering and validating neoepitopes by analysing immunopeptidomic and genomic sequencing data, as well as interrogating in silico datasets. Working closely with
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the vision of the high-profile scientific activities for the department. Activities range from complex large scale project deliverables to micron level devices, and activities that support and enable local