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essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, data science, statistics, physics, or a related discipline, and have experience of analysing and
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spatially-resolved models of metastatic outgrowth in the liver which account for interactions between stromal, immune and tumour cells. You will analyse quantitative imaging data from a variety of sources
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patterns and ability to work under pressure without compromising accuracy will be vital to the success of the project. Desirable qualifications include proven skills in data analysis and some coding
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analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
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quantitative data analysis. The research involves cryo-EM sample preparation, data acquisition, and analysis, so experience in these areas would be advantageous. What We Offer Your happiness and wellbeing
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-established data resources accessed within a secure Trusted Research Environment for large-scale analysis. This role offers excellent opportunities to engage with a broad network of collaborators including
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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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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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