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also include your date of birth. Your application will not be considered without this information. CV of education and employment history along with details of two referees (one must be your current
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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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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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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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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