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in-line or at line spectroscopic tools Large-data, modelling and prediction of food and ingredient processes. Understanding of biological production systems and their use, and with an emphasis
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provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute to the teaching. English is the preferred language in
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success, the successful
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February 2029, but with possibility for an extension. Job description • You will be contributing to further development of the WRF-Chem model to handle a large range of bioaerosols in particular pollen
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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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who are motivated to translate large-scale genomic data into meaningful biological and clinical insights. Terms of Employment The employment consists of 3 years as PhD fellow. Starting date is December
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++, or similar) and a keen interest in writing clean, well‑documented and reusable scientific code. Experience in building Big Data databases (e.g. SQL), managing large datasets, and querying / structuring in
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and proficiency working with large datasets (experience working with Danish national registers strongly preferred) Experience and proficiency with data analysis and statistical modeling Competence with
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analysis of large datasets is also required, along with a solid publication track record in data science. Furthermore, you should demonstrate strong motivation for interdisciplinary research and possess