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The Machine Learning section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering a 2 and a half year fully-funded postdoctoral position
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the impact of two highly controlled, short-term lifestyle interventions. Through these interventions, the project seeks to achieve deep phenotyping related to insulin resistance, advancing our understanding
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relevant tasks. The department can offer postdocs who teach up to 20% of their working hours, the Teaching and Learning in Higher Education programme without hourly compensation. Qualification requirements
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us to explore the relation between the degree and type of processing, and the foods that result from their use. The results will be used for data machine learning, in collaboration with other partners
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, passionate about science, and keen to learn and improve skills within a supportive research environment. You will be part of a multidisciplinary team and will be tasked with proactively seeking and maintaining
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, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the Executive Summary of CBMR's Strategy 2024–2028 . CBMR was established in 2010
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community that strives to put knowledge into action by: Engaging partners in the co-creation of knowledge, learning and social change. Empowering our students to become reflective and responsible citizens who