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complex autonomous or cyber-physical systems Data-driven and hybrid modeling approaches for large-scale, stochastic systems Applied AI in industrial, environmental, or public domains, integrating diverse
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of department/immediate mentor to align expectations and indicate the objectives for the tenure track’s development process. This career plan must be satisfactory followed and accomplished
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. Appointed candidates will have to make a tenure track career plan with the head of department/immediate superior to align expectations and indicate the objectives for the tenure track’s development process
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application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website. Where to apply Website https://candidate.hr
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, Water Resources, Civil Engineering, Physics and Meteorology, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The MSc degree must be equivalent with the Danish MSc degree
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tackle the socio-techno-economical complexity of the built environment. Your vision is to close the “performance gap” by integrating Advanced HVAC System Design & Control, Cyber-Physical Modeling, and
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Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. More information about the department can be found at https://imada.sdu.dk/ . Application deadline 16 August 2026 at 23
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be physically located at the Cognition and Neuropsychology research cluster https://psychology.ku.dk/research/research_clusters/cognition-and-clinical-neuropsychology/ , at the Department of Psychology
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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recruitment process at https://employment.ku.dk/faculty/recruitment-process/ . The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates