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will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop new
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phenotypic data generated by CowFIT, in combination with other phenotypes from the Danish Cattle Database, to develop both management and genetic tools aimed at extending the productive lifespan and efficiency
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employment This is a two–year position from Feb 1st, 2026 or as soon possible, with possibilities for extension. Job description You will develop genetic tools to study cellular mechanisms of protein quality
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. The research will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop new
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from advanced interdisciplinary training, bridging academic research with societal applications, to address critical climate challenges and the green transition. Emphasis is placed on developing
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applications, to address critical climate challenges and the green transition. Emphasis is placed on developing leadership and collaboration skills, preparing participants to take on significant roles in
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. The research will be conducted within the MIST project (Scalable Mechanistic Interpretability for Safe and Trustworthy LLM Agents), recently funded by the Novo Nordisk Foundation. The project aims to develop
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on developing leadership and collaboration skills, preparing participants to take on significant roles in research and innovation within climate-related sectors. Applications Process How does it work? You have an
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fuel Research area and project description: You will be part of the Novo Nordisk Foundation CO2 Center (CORC) with aim of developing knowledge and technology within the field of Carbon Capture and
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of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track