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Field
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detectors (GWD), including the LIGO detectors. Current projects include the development of wavefront sensors and actuators for improved laser-beam mode control in GWD, including a new facility for full
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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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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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transmitting vast amounts of data, this global infrastructure holds an extraordinary potential: it can also serve as a real-time sensor for earthquakes. In this project, we explore that potential by developing
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-based cameras (e.g. DVXplorer), and tactile/force sensors. 3. Strong background in computer vision and deep learning, with practical implementation experience. 4. Proficiency in programming with
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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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developed within the project. - Assure the methodological and scientific coherence between the two center of the Synergy project. - Co-supervision of the PhD students and lab-development co-coordination
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(e.g., electrochemical and optical sensors) for molten salts, the development of innovative processes and technologies for recycling actinides to support sustainable fuel cycles, and the application
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Process; Sustainable and Resilient (Bio) Chemistry; Materials Discovery; Theory, Computational and Data-Led Chemistry; Soft Matter, Polymers and Interfaces; Chemical Photonics, Spectroscopy and Sensors
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the supervision of PhD students and other team members. You will assist in writing project proposals. If necessary, you will fulfil a limited number of teaching activities. You will participate in the provision