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Are you analytically sharp and interested in how artificial intelligence can support learning and teaching? Then we have an exciting opportunity for you at Aarhus BSS. We are looking for a student
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Join a research environment where Artificial Intelligence and Machine Learning moves beyond theory into clinical impacts. At the Faculty of Engineering and Science, this postdoctoral position offers
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work. We are seeking a teaching associate professor to help teach in accounting at Aalborg University Business School. The position is a 3 year full time position starting on February 1 2027 or as soon
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are expected to teach and supervise students at Bachelor’s, Master’s and PhD level and to carry out research of the highest international standards, which contributes to developing the academic field
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, learning, coordination, and information sharing into experimental measures. Help run pilot studies comparing how individuals, teams, and AI agents search, make decisions, adapt and get stuck, including
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AAU's Problem-Based Learning (PBL) approach to contribute to the continued development of accounting education and innovative teaching practices at AAUBS. As an associate professor in accounting, you will
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intelligence and machine learning, with areas such as enzyme discovery and engineering, metabolic pathway design, genetic-code engineering, protein engineering, and the biosynthesis or biological incorporation
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problem-based learning environment, while contributing to an active research community within artificial intelligence and computer vision. The position is a permanent full time position (37 hours per week
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primary tasks will be research and research-based teaching. You will teach and supervise students at Bachelor’s and Master’s level, and you will contribute to the development of the department through
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, outreach and knowledge brokering activities of the Algorithms, Data and Democracy project (ADD) of which the IPA project is part (see www.algoritmer.org ). teach, supervise and examine students in Master of