112 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Aalborg University
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-drive systems. Across the above areas, you are expected to contribute to model-based and data-driven/AI-based methods, including digital twins, physics-informed learning, data analytics, and AI-assisted
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requirements, including link budgets, beam steering, and orbital pointing dynamics. • Experience with optimization methods and physics-informed machine learning. • A strong publication record in antennas
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. Mathematical skills: Competence in mathematical modeling of dynamic systems and probabilistic frameworks. Experience with machine learning or AI methods for localization or perception (e.g. learning-based SLAM
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learning, data analytics, and AI-assisted control/maintenance, to enhance performance, reliability and maintainability of power electronic systems. Teaching and supervision are integral parts
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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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internationally oriented research environment, combining high-quality research, Problem-Based Learning (PBL)-based teaching, and engagement with industry and society. Your work tasks The IB Research Group seeks a
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research in Time Series Analysis and Econometrics with focus on one or more of the following key research areas: Nonparametric estimation. Machine learning methods in econometrics and time series analysis
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learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
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experimental and suited for candidates who enjoy hands-on research, learning new techniques, and working across disciplinary boundaries. Your competencies We seek a highly motivated candidate with a strong
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education in creating conditions for engagement, learning, and mental health. The role of psychology in policy and governance, including how psychological knowledge and practice inform and are shaped by