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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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local and regional trends. The necessary samples and data have been collected in recent years during expeditions to the area, and include numerous sediment cores, acoustic surveys of the seafloor and sub
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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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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