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. State-of-the-art algorithms such as the Gaussian process-based Bayesian optimization have shown high potential tuning radioactive ion beam lines and is currently being the focus of attention in facilities
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Bayesian computational methods for such (ill-posed) inverse problems and aims both at increasing their validity and at reducing their computational cost. In this project, we will focus on increasing validity
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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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-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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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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Reference Number BAP-2025-751 Is the Job related to staff position within a Research Infrastructure? No Offer Description Context Consider a camera mounted on a forklift to detect people within a certain
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emulators), including real time or hardware in the loop validation Plan and execute measurement campaigns and lab experiments for key J CROSS use cases, e.g. remote ranging, SAR imaging, object detection, and
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modelling and vulnerability assessment for satellite communications links Design, implement, and evaluate AI/ML‑based algorithms for real‑time detection, classification, and localization of jamming and