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. This is enabled by an ambitious 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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2026 or as soon possible. Job description This position will involve designing, conducting, and analysing experiments to understand the impact of inflammation on the gut-brain axis in the zebrafish model
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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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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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; probabilistic program logics; logical relations for relational reasoning about safety, liveness, and security properties; formal modeling of low-level capability machines and secure compilation; program logics
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to generate new knowledge within biomedical research areas such as infection and inflammation, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching
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take place in our laboratories at Aarhus University. Education You are expected to engage in the education of students at all levels, notably masters and bachelor students, through research-based training. In
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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developing sensor set ups based on SERS These activities will be in close collaboration with a biology group. Your profile Applicants should hold a PhD in Nanoscience, Chemistry, physics or similar. Required
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wide-bandgap materials, based on the ultrafast spectroscopy and comparison to theoretical expectations. Your work will be carried out together with a team of researchers. Your profile Applicants should