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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
. Possible tasks will be: · Assist in expanding our software simulating breeding programs in different species. · Create simulation tools (e.g. R-package) for estimating economic values. · Simulation
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-year period and is funded by a Carlsberg Foundation Accomplish Grant to Prof. Nanna B. Karlsson. About the position This position is part of the research programme REGLA, investigating the physical
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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of experimental setups Good skills in communication of research results & publication experience Ability to work in a team - collaboration and/or management skills Ability to work independently Who we are Aarhus
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practitioners (GPs) and potential crowding-out effects on patient care, and 2) whether subsequent appeals to GPs to avoid overrun budgets, and hereby avoid a financial punishment in the form of decreases in next
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
controlled and field conditions. Candidate profile We seek a highly motivated team member with a genuine interest in insect science, machine learning, plant breeding, as well as the ability to manage their own
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skills (scientific community, the public, stakeholders, and managers) Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines