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organisational accountability; Cybersecurity strategy for business leaders; Data governance, privacy and competitive advantage; Why digital transformations fail — and how to succeed; Platform economics and digital
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collection and analysis, including on-site measurement techniques, calculation and simulation tools, and methods for data treatment. Excellent analytical, problem-solving, and modelling skills. Strong written
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researcher with a strong quantitative profile, excellent analytical skills, and a clear interest in publishing high-quality empirical research. The successful candidate will primarily work on a randomized
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analysis, longitudinal and time-series data modeling, predictive analytics, and the development of generative AI solutions for clinical decision support. The candidate will contribute to the design and
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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be motivated to conduct in-depth empirical research in close interaction with the port sector. Solid qualitative methodological skills are required, and prior experience with qualitative data
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/research/positions-of-strength We aim to create societal value through research that addresses concrete healthcare challenges and positioning the Faculty of Medicin as a frontrunner in the use of data
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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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/research/positions-of-strength We aim to create societal value through research that addresses concrete healthcare challenges and positioning the Faculty of Medicin as a frontrunner in the use of data
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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