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The Process and Systems Engineering Center (PROSYS) at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), is seeking a highly motivated and skilled
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units are united by an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association, the state, the law, and corporation
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will be given to candidates with demonstrated experience with natural language processing, machine learning, and handling large-scale datasets. The position offers an excellent opportunity to develop
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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funded under a European Research Council (ERC) advanced grant LUMIN (Illuminating charge transport in feldspar to measure rates of Earth surface processes). We are looking for a self-driven and innovative
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of mathematics and computer science teaching and learning at the university level. The research design focuses on a dynamic, iterative process where innovative teaching methods are developed, used in practice, and
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regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 22 April 2025 (23:59 Danish time
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 15 May
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stratification. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree within natural sciences (e.g., marine biology