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development activities. The 2-year position will be vacant from 1 February 2026, or as soon as possible thereafter. Main work location is Odense/Denmark at SDU location in Odense Havn (Odense Port), with a
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digestibility are central areas. We are seeking a skilled, motivated, and successful candidate to develop and support this research project at the intersection of recombinant food proteins and their molecular and
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therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people
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contaminant profiles, supporting national and international food safety monitoring and policy development. Responsibilities and qualifications Your primary responsibilities will be to: Collect and process
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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scientific research at a very high level. We expect the candidate to actively engage in the development of the research unit as well as to contribute positively to teaching at the department. Molecular
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evolution in Denmark, and potential challenges and opportunities. You will contribute to these analyses but also have freedom to pursue original ideas, which can then shape the thematic chapters
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the mechanisms underlying inflammatory diseases and their role in tissue damage and disease development. The research is characterized by close integration of basic and translational approaches, as well as well
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sets, lexicon development, use of instrumental techniques to correlate or predict sensory characteristics and multivariate data analysis. This position is part of an interdisciplinary research project
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will