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and effective program delivery. Competencies The position requires strong conceptual and methodological competencies, integrating both quantitative and qualitative approaches to study transformation
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. The PhD students will work on several tasks, including: development of safe data-driven control/reinforcement learning algorithms to recover parameter identifiability by exploration of different
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systems, integrated sensing and communication, and theoretical modeling of 6G systems Solid mathematical background and significant experience in scientific computing programming (MATLAB, Python, C/C
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Join AI:GENOMIX, a newly established AI:X Labs at Aalborg University and help push the boundaries of how artificial intelligence can reveal the genetic architecture of common human diseases. As a
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that predict genetic cancer risk and help explain these risks to people in a clear and safe way. One part of the project builds AI models that can predict the risk of several cancers at once and explain how
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and mitigation within the general study programme wireless communication; as per April 1, 2026, or as soon as possible thereafter. The duration of the positions is three years. In electronic engineering
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Environments within the general study programme Electrical and Electronic Engineering; as per March 1, 2026, or as soon as possible thereafter. The candidate will be based in Aalborg at the Automation and
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programme Materials Science, Mechanical and Manufacturing Engineering, is open for appointment from 01.04.2026 or soon thereafter. The position is available for a period of 3 years. Job description The PhD
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), The Faculty of Medicine. Aalborg University. Your work tasks Your work tasks will be to perform statistical and causal modelling of health outcomes using health registries and/or genetic information from
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs