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skeletal muscle models using patient-derived stem cells; Conduct functional analyses (mass, contractility, fatigue, resistance) under various therapeutic treatments; Integrate and analyze sensor-based
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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of wearable devices Knowledge of mechanical design, mechatronics, actuation, control systems, wearable sensors and/or biomechanics Ability to work in a challenging and international environment Capacity to work
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Requisition Id 15490 Overview: The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from
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candidate will join for 100% of their time the research team implementing the project DAEMON-AI: Detection and Active Elimination of Malicious anomalies through Ongoing Network, sensor, and behavioural
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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. DVXplorer), and tactile/force sensors. Strong background in computer vision and deep learning, with practical implementation experience. Proficiency in programming with C++ and Python, including use of ROS
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representation of real-world marine structures and their corrosion processes. By integrating comprehensive sensor measurements, experimental data on corrosion, and advanced predictive modelling (including physics
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Doped with Rare Earths and Mid-Infrared Emission (ChalcoMeth Sensors), supported by the COMPETE2030 Operational Program budget – FEDER-00762200, in its FEDER/FNR component, and the Foundation for Science