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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg University is known worldwide for its high academic
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University: [email protected], +4593522528 Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and
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information For further information, please contact: Professor Simona Radutoiu, [email protected] Deadline Applications must be received no later than 30 September 2026. Application procedure Shortlisting is
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Munkegade 118, 8000 Aarhus C, Denmark. Deadline All applications must be received no later than 5 October 2026. Application procedure Shortlisting is used. This means that after the deadline for applications
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. Qualifications Applicants at Postdoctoral Researcher level should hold a PhD in AI enabled learning, educational technology, information systems, computer supported learning, social entrepreneurship, innovation
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For further information, please contact: Assistant Professor Pablo Alcón, [email protected] Deadline Applications must be received no later than 30 September 2026. Application procedure Shortlisting is used
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://internationalstaff.au.dk/prearrival/ for information about arriving to and living in Denmark for both the applicants and their potential families. Application procedure Shortlisting is used. This means that after
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highly motivated candidate who has: A PhD in agronomy, engineering, biology, technical oriented sciences or similar. Research experience on process-based models (e.g. DayCent, DNDC, or similar) to simulate