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thereafter). The successful candidate will be physically based with the AarhusNLP Group on projects funded by the Danish Ministry of Digital Affairs’ AI Initiative. This initiative stems from the 2024 national
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the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site nature-based solutions that enhance local
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employees, 500 PhD students and 160 technical/administrative employees who are cooperating across disciplines. You can read more about the department here and about the faculty here . The project is based
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of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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particles and water molecules interact to form clouds. The experiments will be complemented with off-line chemical analysis and molecular modelling with collaborating groups in C3. The position will focus
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You will identify glycans in representative activated sludges and model biofilms You will assign biological functions to glycans in activated sludges and model biofilms You will oversee descriptions
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. Through research, education and research-based advice to public and private actors, CFA contributes to theoretical and empirical developments related to research, innovation and higher-education policy
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and analysis. Data analysis and interpretation, including theoretical modelling. Establishing structure-property relationships and pushing the frontiers of the field. Collaborating nationally and
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aptamers to modify their function in cellular models in tissue culture together with external collaborators. In addition: The lab has a focus on innovation in science and the project has an application
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: Establishing an efficient and robust pipeline for collecting video, audio, survey, and contextual data from weekly concerts in Symphonic Hall, Musikhuset Aarhus Developing applause-based candidate metrics