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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry
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., PTRwid or PTRViewer, or similar software), as well as experience in programming, command-line environments, and statistical analysis (e.g., R, Python, or related tools). Experience with metagenomics (e.g
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preservation, and extraction is required, • Knowledge on computational skills involving bioinformatic and statistical approaches working with next generation sequencing, • Capacity and strong interest in
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analysis skills; advanced proficiency in Stata, R, or comparable statistical software; the ability to specify, evaluate, interpret, document, and justify statistical models; strong academic writing skills
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spoken) and have documented experience with large-scale health data and advanced epidemiological and statistical methods, including programming skills. Experience with the Nordic nationwide registers is an
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Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers
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statistical models to understand the ecological and phylogenetic factors playing a role in the evolution of the host-microbiome systems. The project will use the vast number of paired host and microbiome