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the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The translational pharmacology group aims to understand variability in drug
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with programming languages such as Python and SQL. We work with very large spatio-temporal datasets, so concrete experiences with spatial data tools such as PostGIS and QGIS are beneficial. Time-series
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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and North, ensuring real-world testing across diverse agricultural contexts. Beyond the research itself, IBIS aims to implement standardized experimental protocols, harmonized data formats, and
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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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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two PhD students in the groups, and your newly developed tools will support the analysis and interpretation of their data. You will interact strongly with several international collaborators, both
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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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