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“big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and environmental
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glycoproteomics, including data analysis Experience in metabolomics, including data analysis Experience in lipidomics, including data analysis Experience with machine learning in proteomics data analysis
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, immune, metabolic) · Brain–computer interfaces and neuroengineering · Health big data analytics; advanced intelligent diagnostics/therapeutics Qualifications · M.D., Ph.D., or equivalent, plus postdoctoral
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dedicated learning opportunities. What you'll bring Essential A relevant PhD degree (e.g. Epidemiology, Biostatistics, Statistics, Genetics, Data Science, Mathematics); Strong understanding of epidemiological