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set-up, and data collection and analysis. Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). Have experience
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following: Animal models of inflammatory lung disease Animal breeding and colony maintenance, work with genetically modified animals Advanced flow cytometry (e.g. FACS Symphony A5) and data analysis Assays
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opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within the group led by Professor
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mentorship if needed Contribute to writing bids for research funding Design and conduct qualitative research (e.g. interviews, focus groups) and/or economic evaluations Analyse and interpret data using
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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expertise in undertaking research to improve what we know globally about the prevalence and nature of CSEA, and bring experience of working with different types of data, including administrative data [such as
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and coordinate a team of international researchers; and (iii) enable open sharing of data, evidence, and policy tools among researchers, policymakers, and civil society organisations. The Fellow will
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may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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diverse range of staff and fostering a culture where everyone feels welcome, comfortable to express their ideas, and can reach their full potential. For more information, please visit Our Diverse Workforce