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26 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering
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, data, and analytical frameworks related to existing buildings, and contributing to the development and testing of AESA approaches for renovation and transformation practices. Your competencies
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-principles physical knowledge with data-driven learning to enable continuous, autonomous system oversight. Research objectives The project pursues two interconnected research directions: Continuous
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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The Danish Confederation of Professional Associations on Academics in the State. Questions For specific information about the PhD fellowship, please contact the principal supervisor. General information
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machine learning models that can detect unusual, unsafe, or attacked operating conditions. Developing data-driven models that capture how faults and attacks spread through a system, and using them to make
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in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the Danish programme. Applicants can find information
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training course within the first year of employment. The candidate will most likely be expected to conduct teaching, supervision, and examination within the English programme. Applicants can find information
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the Grundtvig Archive at the Royal Danish Library. The shared theoretical foundations for the interdisciplinary research team are Modern Genre Studies and Conceptual History. More information about the core group