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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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toward safe AI control systems. The candidate will be part of the Distributed, Embedded and Distributed Systems research group: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems
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of Adverse Outcome Pathways (AOPs) in toxicology. We are looking for a highly motivated candidate with strong analytical and problem-solving skills and the ability to work independently and as part of a team
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interdisciplinary research and education. We are located at Frederiksberg and have approximately 20,000 full and part-time students, 800 full-time faculty members, 200 PhD students and 700 administrative staff, and a
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part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies)—a national collaboration involving 23 leading companies, five Danish universities, and three
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your gateway. As part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies)—a national collaboration involving 23 leading companies, five Danish
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international conferences. Take advanced classes to improve academic skills. Carry out teaching, teaching support and BSc./MSc. co-supervision as part of the overall PhD contract. You must have a two-year
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. The fellowship will focus on the damage evolution and formation of fractures in ice sheets. The successful applicant will be part of the research center PRECISE (PREdicting Changes in Ice Sheets on Earth) (https
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group is focused on developing new computational methods for the prediction of chemical reactivity. The group is a part of Department of Chemistry, Faculty of SCIENCE, University of Copenhagen. We
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will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The