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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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, Ultrasound and Vibration, Aircraft Structures, Damage Assessment, Structural Health Monitoring, Structural Health Prognosis, Bayesian Statistics, Machine Learning Informal enquiries prior to making
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Engineering, Computer Science Desirable skills/interests: Signal processing, wireless communications, hands-on experience with hardwares Objectives: Low-power RF front-end design to monitor mm-wave spectrum
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and based on local respective regulations, depending on prior research experience. Objectives: To monitor ticks along ecological gradients in recreational forests in the region of Montréal and Brussels
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biomarkers of treatment success in the broader context of respiratory allergy.Key objectives include:• Evaluating allergic sensitization patterns in soldiers prior to deployment using an extended panel
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ICT Services & Applications. Your role Large vision-language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events
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on BSc and MSc levels (distinction needed for PhD track) can communicate complex issues effectively in both written and oral form can work independently, with good skills at organizing and
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interacting effects of soil conditions and stand composition on SOC storage. Context and objectives. As in many countries worldwide, Wallonia has witnessed a conversion of semi-natural ancient forests
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, enabling to fabricate components with spatially controlled material properties. Within this PhD topic, the main objective is the development of a multi-modal spectroscopic sensing system enabling the in-situ
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the settlement and food production in the Pacific islands in pre- and early European colonial times through existing colonial documents, and track the colonial impacts by the decade. 1) You will reconstruct ways