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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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mobility and vulnerability to falls. The project will combine physiological sensory biomarkers with postural control, gait analysis and real-life mobility measurements obtained using wearable sensors and
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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description By 2050, the World Health Organization predicts that the global population aged over 60 will double
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 29 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 11 days ago
solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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is the radiative cavity surrounding the emitter. This cavity controls how thermal radiation is exchanged between the emitter and the photovoltaic cells, influencing the spatial distribution
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translational medicine using a "bench-to-bedside" approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in
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until 2022. The market is predicted to grow from 5.9 billion USD in 2022 to 11.9 billion USD by 2026. Such a fast growth implies the necessity of a highly educated staff from both fields of agriculture