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Aarhus University, Denmark - an international top-100 university - has made an ambitious strategic investment in a recruitment plan to radically expand the Department of Electrical and Computer
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environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in Food and Health
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal
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QGG Aarhus University seeks a Tenure Track Assistant Professor in Quantitative Genetics of sustai...
in Aarhus and at the AU Flakkebjerg campus in newly renovated offices with well-developed research infrastructure, laboratories, equipment, and highperforming computing clusters. Place of work
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Agroecology programme. The position is available from 01
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programme spans four years, beginning with one pre-PhD year followed by a three-year PhD project. Programme highlights – What’s in it for you… Three lab rotations in excellent neuroscience labs during the pre
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group and develop an innovative and impactful research program, which includes, but is not limited to, population and evolutionary genetics, metagenomics, eDNA-based monitoring, and phylogenomics
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professorship is a permanent position. The position will have employment at Campus Odense and includes occasional research- and educational tasks at our program in Campus Esbjerg. As an Assistant/Associate
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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act as the museum's liaison with relevant Danish natural history communities. The successful candidate will be expected to establish and develop an externally funded collection-based research program