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programmes to benefit from new developments in pedagogical approaches and content. We expect The candidates must possess research qualifications and teaching skills corresponding to those obtained after a
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vitro assays for the development of atherosclerosis therapies”), which aims to develop the next generation of disease-relevant smooth muscle cell assays to bridge basic research and drug discovery
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01
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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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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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our international academic and industry partners. The successful candidate will be embedded within Nordcee , an international research section focusing on biogeochemical cycling, earth evolution, and
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are interested in pursuing a PhD education. We offer a number of PhD positions in the following programmes: The University is located in Aarhus, Denmark, which provides international students with a safe and
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demonstrated experimental realizations and proven theoretical advantages. The project may involve several aspects, including mathematical theory, algorithm development, error correction, adaptation of GBS-based
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an attractive and inspiring working environment with dedicated and highly skilled people. There is a formalized teaching program dedicated to methodological aspects of pharmacoepidemiological research. As a
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occurrence and significance of dark oxygen production in natural systems remain unknown. The successful candidate will develop and employ experimental techniques for the detection and quantification of dark