239 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Denmark
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for farm-farm interaction Development of coupled LES and aero-elastic models using the actuator line method Analysis and design of wind farm control through LES and machine learning Scientific publication
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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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abroad. We also teach philosophy and history of ideas in combination with a minor subject, which qualifies students for teaching in Danish upper secondary schools. See more at https://kandidat.au.dk
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professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more
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Education and Center for Protein Design. Further information on the Department can be found at: https://drug.ku.dk/ We welcome applications from ambitious and talented early-career researchers seeking
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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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the interaction and interdependencies of business and society. More information about MSC’s research focus can be found here https://www.cbs.dk/en/research/departments-and-centres/department-of-ma… MSC
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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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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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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