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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in assessing carbon sequestration potential of wetlands as nature-based solutions under different
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be given to seamlessly integrating an ecosystem model (LandscapeDNDC) and a farm model (to be developed, based on components from the FarmAC and other relevant models from previous and ongoing
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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qualifications at the PhD level in animal science Research experience in dairy cow nutrition and feed evaluation Research experience with the use of stabile isotopes and modelling rumen flows Experience in
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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to oncogenic enhancers. You will integrate loss- and gain-of-function tools (e.g., CRISPR/Cas and degron systems) with a range of advanced omics approaches in pre-clinical model systems such as cell lines and
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-based genome editing, and bioinformatics. The lab uses diverse cell models, including embryonic stem cells and their differentiated derivatives. The research in the Choudhary group is mainly funded by