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Are you interested in human health and big data collaborative projects at the cross road of genomics, population genetics and statistical learning then the Bioinformatics Research Centre at Aarhus
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underlying modification patterns from short- and long-read datasets.Who are we looking for?We welcome candidates with strong backgrounds in computational biology, mathematics, statistics, or computer science
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variants. We are seeking a postdoc to join this effort, focusing on developing computational and statistical methods to model enhancer activity, enhancer-gene regulation, and cellular heterogeneity based
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disciplines of mathematics, statistics, computer science, and engineering. We offer education ranging from bachelor's degrees to PhDs and support continuing education, all rooted in these scientific disciplines
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, fluid mechanics, solid mechanics, materials science including phase changes, numerical mathematics and data analytics based on statistics and/or machine learning. Each of the postdoc positions will be
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participating actively in meetings and conferences. The role also involves performing data analyses using numerical and statistical approaches, writing scientific articles aimed at highly ranked international
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universities and research centres, as well as expert non-profit organisations and the private sector. The post doc will be responsible for estimating prevalence of micronutrient deficiencies using statistical
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and characterize metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with
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demonstrated excellence in research and strong quantitative skills. While no prior experience with VR is needed, the successful candidate will have prior knowledge of advanced statistical techniques. The ideal
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Section for Computational and RNA Biology, Department of Biology, University of Copenhagen | Denmark | about 2 months ago
). However, interest for or previous experience with single cell data analysis and statistical modeling are more than appreciated. Applicant profile - What are we looking for? We are looking for a genuinely