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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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month project as Marie Sklodowska Curie trainee in one of the participating institutions with the objective of receiving a doctoral degree (PhD). • State-of-the-art, exciting research in an international
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objective: To develop, test, validate, and valorise decolonized, just and trustworthy FMs and an FMs-based application for assessing FOG severity in the clinic and everyday life (the FOG severity assessment
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the methods used for manufacturing the enamelled fibulae (i.e. the alloys and the coloured enamels). The ability of IBA and ToF-SIMS to detect trace elements (down to the ppm level) can help to identify
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, in many application areas such as predictive maintenance, process monitoring, environmental monitoring, and the detection of safety-critical events, oftentimes only limited training data is available