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studies, including experimental planning, data acquisition in collaboration with imaging colleagues, quantitative analysis and integration with behavioural findings. Perform and develop molecular and tissue
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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data. Statistical analysis using R and/or Python. Reproducible computational workflows. Scientific writing and publication. Microbiome research and host-associated microbial communities. The ideal
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-based products. The candidate will be involved in data collection, quantitative data analysis, interpretation of findings, preparation of deliverables, writing of academic articles and ongoing development
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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synchrotron beamline provides a unique environment for developing novel diffraction methodologies, data-analysis workflows, and experimental capabilities. The candidate will have access to state-of-the-art
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/or eating disorders, data analysis and statistical modeling. Prior experience working with Danish registers is an advantage. As a person, the ideal candidate will have good interpersonal skills, will
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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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differentiation (ideally mouse ESCs), single cell sequencing, method development, flow cytometry/FACS, and/or CRISPR-based perturbations, data analysis. Theoretical background in epigenetics and embryonic
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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex