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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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, agroecology, agronomy, data science or similar Collaborative skills and ability to participate actively in teams A fondness for taking the initiative and the motivation to pursue a scientific career Documented
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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Aarhus University with related departments. Contact Information For further information please contact: Associate professor Ulf Andersson Vang Ørom, ulf.orom@mbg.au.dk Deadline 30 July 2025. Application
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
AU Viborg, Blichers Allé 20, 8830, Tjele. The affiliation will be with Soil Physics and Hydropedology, Department of Agroecology. More information can be obtained from Associate Professor Shubiao Wu
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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, production efficiency, and milk production. Contact Further information on the position may be obtained from Head of research unit, Professor Peter Lund, phone: +45 4015 7673, email: Peter.Lund@anivet.au.dk
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personal qualifications A PhD in data science, statistical genetics, quantitative genetics, bioinformatics, statistics, computer science, or closely related fields (required). Experience with large-scale