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are seeking a postdoctoral researcher with experience in analysis of large datasets to examine pre- and post-diagnosis healthcare utilisation among patients with cancer in Luxembourg using insurance claims data
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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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) Experience in data processing, statistical analysis, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and
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sciences using a range of quantitative methods. The division has around 50 staff members, faculty, and PhD-students with diverse expertise including engineers, natural and social scientists. The Department
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associated land use changes, it is fundamental to understand the patterns, drivers and effects of vegetation fires in order to prevent fires and reduce harm to ecosystems and societies. Collecting data on fire
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outreach and technical assistance, and providing decision-makers with decision-support tools, data analytics, and policy solutions. The Department of Ocean Engineering conducts world-class research in
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30 Sep 2025 Job Information Organisation/Company University of Tuebingen Research Field All Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position