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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
planning in species such as dairy cattle, pigs, aquaculture and insects to be used for research and in projects in collaboration with the breeding industry. The candidate selected for this position will join
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the research group, including on climate goals and advisory services in the dairy sector. Teaching students may be included in the work tasks, up to a maximum of 20% of the position. Your profile A PhD in
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agricultural economics. The position may also benefit from synergies with ongoing projects at the Swedish and EU levels within the research group, including on climate goals and advisory services in the dairy
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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fermentation of alternative dairy ingredients. You will work with postdoctoral researchers to conduct laboratory experiments, implement automation workflows, and manage experimental data within an industry
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About the role – In this post, you will join a collaborative BBSRC-funded project focused on using metabolomics and machine learning to predict lameness outcomes in dairy cows. A typical day may
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various dairy systems and livestock/grazing management scenarios. Document model development processes and disseminate research findings through peer-reviewed publications and technical reports. Performs
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% Writing 10% Requirements Ph.D. in Animal Science, Dairy Nutrition, Feed Science, or a related field Strong background in ruminant nutrition and feed processing Proficiency in life cycle analysis Familiarity
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candidate should have experience in applied cell biology and mammary gland physiology in dairy cattle. Furthermore, the candidate must have experience in designing and conducting in vitro cell biology studies
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covering letter) Feed formulation Alternative feed resources Forage analyses Camel production Dairy management Milk and meat analyses Livestock systems Experience in working as a member of a multi