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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We
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immunological assays are developed and conducted, and The Biomedical Laboratory at SDU, which houses state-of-the-art small- and large animal facilities. The postdoc will join the group of Professor T. E
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Associate Professor (Independent Group Leader) in Data Science and Modelling of Whole-Cell Biosol...
to implement standardized experimental protocols, harmonized data formats, and transparent documentation practices—laying the foundation for reproducible and collaborative research in biofertilizer innovation
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characterization. At SurfCat, we make extensive use of surface science techniques and collaborate closely VISION, which provides access to advanced microscopy tools. Promising catalysts may also be studied at large
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Do you have a computational background and interest in developing novel tools for integrating structural biology data to understand regulation of disordered regions of proteins? Then the Viennet lab
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
. This is enabled by a dedicated farm-based infrastructure with large-scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
related fields are welcome, such as connections with hazard characterisation, big data analyses as well as environmental fate and multisource exposure studies. While the work will focus on a Danish and
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that unites leading researchers across Denmark and the University of Oxford (UK) to advance data-driven precision medicine by integrating large-scale register, clinical, and multi-omics data
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses of large amounts of data generated within biological, biomedical and biotechnological and life