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science LCN and UCL Physics and Astronomy are at the forefront of research into complexity in materials science, particularly in the area of emergent properties in strongly correlated systems. Particularly
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optical modelling and/or Monte Carlo simulations of light transport in tissue. Experience analysing complex physiological or biomedical datasets. Evidence of publication in peer-reviewed journals and
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analysis of large, complex healthcare datasets alongside experience of writing papers for peer-reviewed journals. It is essential that candidates have a strong working knowledge of research methods in
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administrative health datasets. You will bring expertise in data linkage approaches, management of complex datasets, and handling missing data, as well as a clear understanding of data privacy and security
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are essential, with the ability to present complex scientific findings clearly to both specialist and non-specialist audiences. You will be a collaborative researcher, able to work effectively with a wide range
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particular, you will be expected to: Co-lead high-quality, high-throughput experimentation, device fabrication, characterisation, bio-functionalisation, and data acquisition within artificial and complex