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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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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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models, the project will assess biodistribution, immune activation, and tumor response. Key objectives include characterizing immune modulation, optimizing treatment regimens, and evaluating
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these conditions, long term creep and shrinkage/swelling processes drive the evolution of mechanical stability of the material. The primary objective of this PhD is to enhance existing theoretical and numerical
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methods, such as soil excavation, often generate large volumes of radioactive waste and incur high costs. This PhD project directly supports SCK CEN’s strategic objective to bring forward novel solutions
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objectives of the project include a material-level investigation to gain a phenomenological understanding of the mechanical and durability properties of pre-selected circular concrete formulations, achieved
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mechanisms of UO₂ and high-Pu MOX fuel materials. The scientific objectives focus on characterizing powder properties and their influence on pellet formation, examining the effects of additives and
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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