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replanning of combined TN-NTN networks based on input from experimental data of monitoring sensors WHAT WE ARE LOOKING FOR We are looking for enthusiastic candidates to perform research in the domains above in
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universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaching & Research Assistant in Sensors and XR for Digital Health 30
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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reconstruction, and analysis of human movement, gait, posture, or motor behaviour. Experience integrating multimodal datasets (e.g., video, IMUs, EMG, force plates, wearable sensors). Familiarity with modern deep
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integrated cryogenic temperature sensors. Join our vibrant team in demonstrating cryo-CMOS integrated circuits enabling the next quantum technologies! Job Description Quantum computers and quantum sensors
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conduit that are necessary to facilitate building energy management conversions. Install new control panels, new field devices temperature sensors, pressure sensors, flow sensors, control relays, and all
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connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time Delayed Systems - Adaptive Queuing Duties The duties of a Postdoc primarily comprise research. You will
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upper second degree in Civil/Structural Civil/Structural Engineering or a related discipline. A minimum of three years’ relevant research experience in: Concrete compression structure Use of sensors
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
fitted with sensors, we can also access precise physical measurements. Recent work in AI-for-Science has shown that neural-network-based meta-models can also assimilate measurements. Machine learning