57 learning-"https:"-"https:"-"https:"-"https:"-"https:" "https:" PhD positions in Denmark
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career counselling to expat partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus
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connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions and objectives Vision-language-action models (VLAs) Investigate VLA models and
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ecosystem functionality. Our interdisciplinary lab will develop novel Graph Representation Learning models to understand and predict interactions in dynamic ecological networks. Our lab is looking for
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages
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intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into
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, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply advanced analytical approaches, including deep learning and machine learning, to
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contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by
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implications of generative and agentic AI for areas such as leadership, everyday work practices, team communication, professional learning, careers, and inclusion. Doctoral candidates become part of
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to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network
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of up to 2 years. The place of employment will be in Odense. Research profiles and tasks We are looking for a candidate with a background in computational social sciences, machine learning or data