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applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex
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Dept. ESAT of KU Leuven (Belgium) in the frame of the AI initiative of the Flemish Government. The goal of this research is to develop new machine learning methods for data-driven selection and
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. ESAT of KU Leuven (Belgium). The goal of this research is to develop new machine learning methods for the quality assessment and enhancement of signals and annotations in time series data, with
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learning to quickly draw actionable insights from various data streams. Stream Reasoning has numerous applications, such as in autonomous vehicles, robotics, web analytics, and the Internet of Things. In
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treatment characteristics with stem cell-derived organoids, to inform clinical trial design and clinical end point selection for subsequent clinical research in CF. The PhD student will acquire skills in
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10 Apr 2024 Job Information Organisation/Company KU Leuven Research Field Astronomy » Other Educational sciences » Learning studies Researcher Profile First Stage Researcher (R1) Country Belgium
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international network of experts worldwide Learn essential research skills and techniques and explore fellowship opportunities Enjoy standard conditions at KU Leuven, including state-of-the art research
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have taken specialized courses in some of the following disciplines: digital signal processing, audio signal processing, machine learning, and/or machine listening. Research experience (e.g. through
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flexibility Many opportunities for learning and development Eligibility criteria You have a master degree in psychology or educational sciences, business sciences, social sciences or related disciplines, with
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microscopy, electron microprobe. Experience with high-temperature experimental techniques is a bonus. Basic understanding of numerical modeling concepts and willingness to learn and apply