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Master's and PhD students. Candidates will be responsible for creating a collaborative work environment within and outside QGG that integrates novel innovative research programs towards the green transition
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of biotechnology, food technology, and human and animal health, through the advances we make in research, technology and innovation, and through the training and education of first-class BScs, MScs and PhDs in
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, and PhD levels, as well as support and guide technical staff. What we offer A well-developed research infrastructure, laboratories and access to shared equipment and animal-experimental facilities
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
. Researchers in the section teach the BSc and MSc programmes in animal and veterinary science and supervise PhD students and conduct research-based public sector consultancy for national and international
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. The postdoc will participate in knowledge exchange with public authorities and industry, as well as in teaching and supervision at the bachelor’s, master’s, and PhD levels within animal and veterinary
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. Researchers in the section teach the BSc and MSc programmes in animal and veterinary science and supervise PhD students and conduct research-based public sector consultancy for national and international
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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. The postdoc will participate in knowledge exchange with public authorities and industry, as well as in teaching and supervision at the bachelor’s, master’s, and PhD levels within animal and veterinary
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). This position offers a unique opportunity to take a central role in one of Europe’s major initiatives in quantum workforce development, education coordination, and skills ecosystem building. The EQA brings
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural