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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE), is looking for a
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, and machine learning. Duties Responsibilities may include: Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA
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Project description We are looking for a postdoc to develop statistical methods for source tracking of dioxins in a project funded by the Swedish Environmental Protection Agency (TRACED). Current
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differs. This will be done using register based epidemiology. The main task is the production of scientific articles for publication. The applicant is expected to plan and perform statistical analyzes
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that are important for improving human health. We focus on research, development and education in medical education, ethics, informatics, medical management, statistics and prevention. It is an exciting work
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statistical analyses Practical experience with genetic analyses Practical experience with multi-omics analyses (transcriptomics, proteomics, metabolomics) Good knowledge in English, both written and spoken It
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are believed to be involved in cluster headache pathophysiology. Experience in working with laboratory assays such as qPCR, western blot and immunohistochemical staining and using statistical programs such as
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to identify novel and repurposing drug targets. Comprehensive knowledge of epidemiological methods (such as cohort, emulated target trial), omics and pharmacoepidemiology. Documented experience with statistical
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panels, and mathematical statistics, Ability to work independently, integrate into a team, and learn quickly. Assessment criteria Applications to graduate studies are governed by rules in the admission
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. Proved experience in writing and publishing in peer-reviewed journals of high-quality scientific papers. Excellent command of statistical software (e.g., Stata, SPSS, R). Excellent written and oral