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Field
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bipolar disorder. You can make it happen. Join our project Wearable sensors for monitoring of sweat metabolites. Job description Patients with chronic conditions regularly need to visit the hospital
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circularity into a next-generation platform for real-time decision-making in battery recycling. This is what you are going to do Develop and implement multi-sensor analytical workflows (e.g. chemical
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well as acoustic disturbances in the infrasound band. The positions focus on developing, characterizing, and deploying next-generation infrasound and seismic sensors to characterize and suppress these environmental
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Collaborate with the research group and external partners on cutting-edge atomic and nuclear sensor applications Present research findings at group meetings, conferences, and through scientific publications
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economy, through the execution of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable
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implement in-situ sensors (3D scanner, thermal imaging, visual camera, etc.) and adaptive toolpath strategies to assist hybrid manufacturing. develop digitally driven value chain models to estimate
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priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 16 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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(LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights
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of technological innovation aimed at sup- porting farmers by alerting them of imminent lambing events. Its objective is to provide a reliable predictive system based on sensors and artificial