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are seeking an ambitious postdoctoral researcher to establish in vitro reprogramming and differentiation systems for modelling leukaemia-immune interactions and CAR T-cell function. The successful candidate
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, clinical, imaging, and electronic health record datasets. Advise research group leaders, collaborators, PhD students, postdoctoral researchers, and junior analysts on appropriate statistical, genetic
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, computational biology, or biomedicine, including methodological work and/or impactful computational studies addressing important biological or biomedical questions. Excellent programming skills in Python and
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programming skills in Python. Strong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches
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skills You will enhance your professional skills by contributing to: Research software engineering for biomedical AI Refactoring and modularising scientific Python code. Turning research prototypes
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and