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Aarhus University, Department of Mathematics Position ID: MATHAU-STAT [#27767] Position Title: Position Type: Other Position Location: Aarhus, 8000, Denmark [map ] Subject Area: Statistics Appl
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Computational Biology (BiRC), Department of Molecular Biology and Genetics (MBG), Aarhus University (http://birc.au.dk), Denmark. The application deadline is 7 April 2026. The position We seek a highly motivated
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Research & Innovation Centre (BRIC), working at the intersection of genomics, molecular biology, and artificial intelligence. The lab performs statistical analysis of large-scale datasets (cancer genomics
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
of flora and fauna, stable isotopes, programming in R, statistical analysis, and GIS, will be beneficial. Our Department: The Department of Biology at SDU is a dynamic and multidisciplinary environment
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) Experience with advanced statistical modelling (esp. random effects) is a plus. How to apply Please apply by uploading a short motivational letter (1/2 page) and a CV (in English) through the apply button at
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Research & Innovation Centre (BRIC), working at the intersection of genomics, molecular biology, and artificial intelligence. The lab performs statistical analysis of large-scale datasets (cancer genomics
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, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking these with existing survey data. The PhD student will contribute to international journal publications
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background or keen interest in statistics, statistical analysis, and surrogate-based modelling would be considered an asset. Qualification requirements PhD stipends are allocated to individuals who hold a
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel