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Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced quantitative proteomics platforms such as Olink and Simoa technology to
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model development to analyse the cost-effectiveness, cost-benefit and/or budget impacts of treatment strategies, and conduct sensitivity analyses and scenario planning Source appropriate epidemiological
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required, interest in applications of statistical models to such fields is a plus. What We Offer In addition to becoming part of our intellectually stimulating research community, joining our department
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disciplines; or a Master's degree with at least 1 year's post-qualification experience Research experience in the field of computational biology and bioinformatics through advanced programming (Linux Shell