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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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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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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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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 scientific communication of research results. For non-Scandinavian candidates, an effort to learn to read, write and speak Danish is a requirement. What we offer A well-developed research infrastructure
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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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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
the described area. Take the initiative in developing the research field and collaborate with national and international academic and industry partners. Teach and supervise students at the bachelor’s, master’s
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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or similar. Experience in handling dynamic modelling and control, experimental setup and testing, Digital Twin and Machine Learning Publication experience Collaboration and/or management skills Communication
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling