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to research that informs policy, advances academic debate, and engages the public. Project background We are looking for early-career researchers, recent PhD graduates, advanced master’s graduates with research
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to global scales. It furthermore offers a range of educational activities and learning journeys, including a summer school, workshops and other outreach formats, designed to equip the next generation of food
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, machine learning, and statistical modeling on cutting-edge datasets in precision feeding, animal behavior and welfare, multi-omics and environmental impact. Join our interdisciplinary team to drive real
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are considering different profiles for this position. An ideal candidate is A: A research scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning