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, Sensor Networks and IoT, Computer System Security, Mobile Computing, Cloud Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation, Signal Processing RESPONSIBILITIES
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Knowledge of Physics-Informed Neural Networks (PINNs) or equivalent methodologies. o Experience in the acquisition, processing, and analysis of data from sensors or industrial testing. o Participation in
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tracking; volume and mass estimation; inverse geological modelling; and analysis of sensor and telematics data from machines and transports. The logistics part may include optimization of construction
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care to frame this autonomy in a global and general concept of intelligent assistance, including human validation in each steps where it makes sense 15 Doctorate Candidates will learn from a network of
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programming, computer system design, database systems, data structures, digital design, embedded systems, graphics, machine learning, mobile and cloud computing, networks, programming languages security, sensor
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the project life cycle; development of novel sensors and networks for health monitoring and fault detection; digital transformation of the built environment at network and city scales to support decision making
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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
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disseminate the results. We particularly seek individuals with a track record in handling large-scale remote sensing datasets, and/ or working at the cutting edge of field sensor design and deployment. A
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during the project life cycle; development of novel sensors and networks for health monitoring and fault detection; digital transformation of the built environment at network and city scales to support
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the project life cycle; development of novel sensors and networks for health monitoring and fault detection; digital transformation of the built environment at network and city scales to support decision making