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approaches, including principal component analysis and machine learning, to handle multivariate datasets. Prior experience in data science is not essential; the successful candidate will be supported through
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a team of 25 colleagues dealing with CCUS, and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Apply AI in context of capture solvent modelling Understand and analyse
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participate in research, teaching & administration, which means: Your main task is to complete and to submit your dissertation. You meet and consult with your supervisor(s) on a regular basis in order to
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will work closely with members of our research group, as well as with other research groups at DTU National Food Institute. You will also be involved in teaching Bachelor and Master students within our
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that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students. Based on a full-time appointment (38 hours per week) the gross
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; from data integration to data-related topics such as uncertainty quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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Cell Biol 23, 125-140 (2022)). While initially considered a backup pathway, recent studies suggest that TMEJ is a primary repair pathway in specific contexts, including replication stress, DNA damage in
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control
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competitive in the areas of demography, ethnic relations and migration, gender, family sociology, political sociology, social policy regimes, social networks and social stratification. Masters and doctoral