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imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological insights
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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programmes such as R, SAS, or equivalent. Collaborate within an active research group with national and international collaborators. Contribute to teaching at the Aarhus University and its collaborators, as
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-mail: marja.mikkola@helsinki.fi HiLIFE/Institute of Biotechnology, University of Helsinki, Finland Selected publications Lan Q, Trela E, Lindström R, Satta JP, Kaczyńska B, Christensen MM, Holzenberger M
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
flexible but earliest from October 1st 2025. Selected recent publications from the group relevant to the projects Cancer: Tuysuz E. C., Mourati E., Rosberg R., Gialeli C., Johansson E., Governa V., Belting M
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Coding skills and experience in one or more open-source languages (e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk