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completion of a PhD in Psychology or a relevant area along with experience of collecting data from research participants. With excellent data analytic skills, you will be familiar with SPSS and at least one
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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culture and organoids to ensure data is clinically relevant. Our overarching aim is to utilise these techniques to identify therapeutic targets to which we can generate effective treatments. The post would
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/or growing interest in extreme events, climate change, attribution/causality analysis, epidemiology, public health, ECD, and data science. The Research Associate will be proficient in programming
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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to model immune-mediated kidney injury. Quantitative and reproducible read-outs from these assays will be correlated with human kidney ‘omics data to evaluate the impact of pathway modulation, ultimately
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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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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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) together with relevant experience; Informal enquiries may be addressed to Prof Antonio Elia Forte (email: @eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and