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inverse problems. The team aims at developing Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In
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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
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at the KU Leuven, within the Biomed lab (https://biomed-kuleuven.web.app/research ) to develop new trustworthy AI algorithms for fracture detection based on novel photon counting CT technology. Particularly
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neuroscience of object perception in social contexts to complete and publish state-of-the-art research in this domain. Experiments include methods like functional magnetic resonance imaging
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-594 Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of electrochemical sensors for the detection of PFAS in environmental and food samples PFAS
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skills and a keen interest in application-oriented academic research in applied machine learning. The selected candidate will conduct a research project on data-driven fraud detection, with the objective
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to fraud. Developing powerful fraud detection systems that continuously monitor and learn from data flows is therefore crucial for reducing losses by timely blocking, containing, and preventing malicious
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2 Sep 2025 Job Information Organisation/Company KU LEUVEN Research Field Technology » Electrical technology Technology » Chemical technology Technology » Remote sensing Technology » Safety technology Technology » Production technology Technology » Measurement technology Technology » Interface...
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manufacturer. This is the main reason for which a large part of an aircraft’s lifecycle operation cost is spent for inspecting its structural integrity on the ground. On-line detection, autonomous and
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/interests: Data analysis, data and signal processing, optimisation, programming & implementation skills. Objectives: To improve state-of-the-art algorithms for feature extraction, anomaly detection, and