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Field
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drugs. These applications involve collaborative projects with industry partners (already funded) or academic partners. For these three examples, this metrological approach to sensor development involves a
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such as novel sensors and computers. Working conditions The working atmosphere at the institute is largely determined by young, enthusiastic, mostly foreign employees. Communication is informal and runs
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. Agricultural robots, drones, IoT sensors, and smart farming platforms are transforming crop production by improving efficiency, reducing labour, and supporting more sustainable practices. However, these
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questions, and be able to think critically and develop your own scientific ideas. Previous experience with machine learning, wearable sensors, haptics and control systems is an advantage but is not required
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
and refining their dynamic models through parameter identification on dedicated test benches, including external measurement systems (encoders, force sensors). The refined models will serve in
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-frequency eddy current sensor validated against real ROT measurements; (3) a real-time physics-constrained state estimator integrating JMAK transformation kinetics with the EM forward model; and (4) a model
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variations and sensors malfunctions. • Robust and efficient CF control with Level 5 EV automation tracking accuracy under harsh operating conditions, and automated identification algorithms for self
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sensors in daily life. By linking physiological markers of fatigue to movement quality and real-world activity, you will gain new insights into why mobility deteriorates during daily activities and how
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout