114 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Aalborg University
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for collaborative learning will be open for appointment as 1st of July 2026. The employment will be a fixed term (3 years), full-time position, which will include both research and teaching activities. Your work
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for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All cases involve various degrees of image
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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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