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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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studies, including experimental planning, data acquisition in collaboration with imaging colleagues, quantitative analysis and integration with behavioural findings. Perform and develop molecular and tissue
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position “Human AI Collaboration
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bachelor’s, master’s and PhD degree programs within animal science and veterinary medicine. We offer a lively, engaged and innovative learning and study environment, which is closely integrated in the research
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profile Applicants should hold a PhD in ecology, molecular ecology, genomics, microbiology, bioinformatics, environmental science, or a related discipline. We seek candidates with experience in several
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supervision responsibilities. You will report to the Markus Rinschen, Associate Professor. Your competences You have academic qualifications at PhD level, for example within (but not limited to) the following
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. The project focuses on developing and applying single-cell multi-omics approaches to uncover regulators acting upstream of known epigenetic writers and erasers during embryonic development. Expected start date
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position, starting on 1 January 2027 and ending on 31 December 2028. The position is based within the Department of Education Studies at DPU’s campus in Emdrup, although the successful applicant should
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the changes they induced influenced anthropological study of the Kalahari. Focusing on infrastructures such as veterinary fences and boreholes, the study traces ripple effects “beyond the hoof”—fragmented
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position is connected to the MAPP research centre. MAPP is a world-class interdisciplinary research centre at Aarhus University conducting social science research of the highest quality. MAPP is dedicated