245 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Denmark
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enhance machine learning performance; novel chip design strategies prioritizing efficiency and cost; verification of digital designs; advancements in electronic design automation (EDA), especially for AI
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contaminated water, wastewater, groundwater, drinking water and surface water and related environmental media. https://envs.au.dk/en/ https://projects.au.dk/waterpurification What we offer The department/centre
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Professor (tenure-track) and/or Associate Professor levels with a focus on Data Science and Machine Learning. The expected starting date is summer 2026, with room for flexibility. Depending on the profile
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At the Department of Culture and Communication, the Faculty of Social Science and Humanities, Aalborg University, a position as an assistant professor in Emerging Digital Technologies for collaborative learning will
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
with core computer science or AI, and must be able to teach computer science courses at the bachelor and master levels. The ACP section Successful applicants will join the section of Artificial
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at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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support schools, day-care centres, and youth education in creating conditions for engagement, learning, and mental health. The role of psychology in policy and governance, including how psychological
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Are you passionate about compression, analytics, and machine learning for the Internet of Things and can you contribute to the development, operation and support in cutting-edge projects in strong
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aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and