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candidate will have an existing research profile that uses ethnographic methods to explore questions relevant to the social and ecological effects of livestock and agricultural infrastructures on landscapes
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peer-reviewed publications, conference contributions and internal CENSEMAT activities, and contribute to the development of shared and reproducible computational workflows. Your profile Applicants must
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, and in high-quality scientific publications. Contribute to the supervision of MSc and PhD students, fostering an inclusive and supportive research environment. Your profile You hold a PhD in
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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
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internal and external partners to advance the project. Your profile The ideal candidate holds a PhD in biochemistry, structural biology or a related field, and has hands-on experience with cell culture
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researcher with a strong quantitative profile, excellent analytical skills, and a clear interest in publishing high-quality empirical research. The successful candidate will primarily work on a randomized
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candidate will be expected to: Document an international research profile Be well-versed in research on scientific and technological literacy, as well as in debates concerning the Nature of Science and the
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responses, including gene expression (RT-qPCR), miRNA/small-RNA profiling and secondary-metabolite profiles. Investigate interactions between EV treatments and bacteria involved in the nitrogen cycle, linking
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to contribute to collaborative ECONOVO research activities and take part in relevant outreach and knowledge exchange. The main focus of the position is research. Your profile Applicants should have a PhD in
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this call will take on leading roles in the empirical work of the project, with different but complementary profiles. Both postdocs are expected to have an affinity to computational methods and tools