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only accurate, but also physically interpretable and uncertainty-aware. The PhD project will focus on fault diagnosis and root-cause identification for a web-winding machine, serving as an industrially
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only accurate, but also physically interpretable and uncertainty-aware. The PhD project will focus on fault diagnosis and root-cause identification for a web-winding machine, serving as an industrially
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domains (e.g., automotive, human-computer interaction), where efficient on-device processing is essential. We are looking for a highly motivated PhD researcher with an interest in hardware-aware
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foster a welcoming, multicultural environment. More concretely your work package, for the preparation of a doctorate, contains: We invite applications for a fully funded PhD position in Computer Vision
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within the CVAMO Flanders Make Lab at Ghent University. The project focuses on developing machine learning models to predict manufacturability and manufacturing effort directly from CAD geometry
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brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
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obtain a PhD degree. The candidate will work as a doctoral researcher at the facilities of Orsi Academy, Melle, Belgium. The researcher is expected to join an international interdisciplinary research team
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or integrate with larger epidemiological databases You are experienced in machine learning models to interpret complex data types The official administrative language used at KU Leuven is Dutch. If you
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)medical data, applications of artificial intelligence and machine learning. You contribute to high-quality teaching in bachelor and master years of several training programmes in the faculty of Medicine and
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in autonomous systems such as ground and aerial vehicles, and mobile robots. This includes: formulating and solving long-standing multiterminal information theory problems using modern machine learning