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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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parts. First, the candidate will develop machine learning models to assist gynecologists and embryologists in their decisions and advice regarding couples with fertility problems. We will focus
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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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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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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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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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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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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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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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microscopy, electron microprobe. Experience with high-temperature experimental techniques is a bonus. Basic understanding of numerical modeling concepts and willingness to learn and apply