99 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Aalborg University in Denmark
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-standing tradition of Problem-Based Learning, which encourages student engagement through project work and real-world analytical challenges. We strive to offer students a solid analytical foundation in
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applicants have experience with Problem Based Learning (PBL) which is Aalborg University's teaching philosophy How to apply Your application must include the following: Application, stating reasons
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or soon thereafter, and the position offers a full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive
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++, Phyton, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in digital energy, and if possible, co-simulation frameworks such as FMI/FMU, will
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Professor at Aalborg University (profile: https://vbn.aau.dk/da/persons/jajh/ )The project team consists of the principal investigator, two postdoctoral researchers, and a research assistant working closely
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Graphics and visual media interaction is available from February 1, 2026. The Department of Architecture, Design, and Media Technology (CREATE/AAU) has as its goal the development of an innovative cluster
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creativity and technology, and develops new areas in research and education directed towards the end-user. You can read more about the department here: https://www.create.aau.dk/om-create . How to apply Your
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technology, and develops new areas in research and education directed towards the end-user. You can read more about the department here: https://www.create.aau.dk/om-create . How to apply Your application must
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF