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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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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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will be part of a team of researchers responsible for the annual productivity studies by Aalborg University Business School. These studies provide data driven insights into regional productivity
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will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified
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Hedegaard Hansen, Associate Professor, [email protected] . Selected candidates will be invited for an interview. Interviews are expected to be held during August 2026. Further information Read more about our
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Selected candidates will be invited for an interview. Interviews are expected to be held during 07/2026. Further information Read more about our recruitment process here The appointment process at Aalborg