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large national and international network and cooperate with research partners, public authorities, industry, and NGOs. We have state-of-the-art research facilities and Denmark’s only ocean- and arctic
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well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment
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environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality and a healthy work-life balance. Place of work and area of employment
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well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More
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working relationships, networking, and social activities a workplace characterised by professionalism, equality and a healthy work-life balance Place of work and area of employment The place of work is
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for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international research events. Application Process Submit a complete
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research. The project will provide opportunities for collaboration on high-impact publications, networking with leading experts in business power and public policy, and participation in international
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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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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling