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completion of these studies is an essential requirement of this Apprenticeship. In total, it will take 2 years to complete all elements of the apprenticeship, with support from the Department, University and
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analysis skills and experience in statistical modelling, data wrangling, and analysis of complex behavioural datasets using R, Stata, or other statistical software packages. Experience of developing
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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to the monitoring of student progress and welfare as part of the CDT core team. There is also an administrative component to the role, working closely with the Programme Manager in this respect, and the postholder
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exciting opportunity to support our Research Groups within applied mathematics, primarily Mathematical Finance, Stochastic Analysis and OXPDE, working with academics of the highest calibre to provide
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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analysis and study assay read-outs of endolysosomal dysfunction • Generate and study iPSC-derived neurons and cell lines • Prepare data for publication and presentation • Contribute
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of working on epidemiological analysis of the UK Biobank. This role will involve working with Co-Is Professor Melinda Mills and Associate Professor Charles Rahal, and with a wider team in the Demographic
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development or custom device fabrication is essential. Familiarity with Drosophila melanogaster as a model organism is highly desirable, especially in the context of behaviour or neural circuit analysis