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qualification, with membership of one of the Medical Royal Colleges along with understanding of cancer diagnosis and staging with imaging and histopathology requirements, be able to work in multi-disciplinary
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on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
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techniques (including PCR) and cell imaging. Previous experience of organ-on-a-chip approaches or in vitro models and experience of working in musculoskeletal tissues is desirable but not essential. The post
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countries. The data sources are mainly drawn from the household and labour force surveys. The work will include creating data dictionaries and data cleaning codes to ensure reproducibility of the project