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status reports, meter / sensor problem reports, progress summaries, system utilization reports, overall revenues and expenses, utility billing process, and overall energy use and energy use index. Develops
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and sensor networks. This includes, in particular: Developing and implementing machine learning and deep learning models for evaluating sensor data (Pre-)processing and analyzing time- and frequency
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of servers and assistance in network setup in a testbed building. Data collection from BMS and thermal and occupancy sensors, and machine learning based analysis. Daily system maintenance for the servers and
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(MSCA) Doctoral Network HORIZON-MSCA-2024-DN-01 on Wind farm control and integration in sector-coupled power systems (WindConnect). This doctoral position is part of WindConnect ("Wind farm control and
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electronic instrumentation, data acquisition systems, servo-controlled hydraulic and pneumatic systems, furnaces, precision sensors, computerized testing systems, PLC-based control systems, and variable
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and pneumatic systems, furnaces, precision sensors, computerized testing systems, PLC-based control systems, and variable frequency drives (VFDs), with emphasis on safe operation and maintainability
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resilient infrastructure? Would you like to integrate advanced AI techniques with heterogeneous UAV-based sensor data for the inspection and maintenance of critical transportation infrastructure, addressing
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in a well‑equipped and well‑staffed laboratory environment and will work with a diverse suite of platforms—including profiling buoys, benthic landers, autonomous sensors, and ship‑based sampling
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system for monitoring forested slopes and hydrographic networks, based on fixed and mobile sensing technologies and digital platforms for real-time alerting. It contributes to occupational safety
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system for monitoring forested slopes and hydrographic networks, based on fixed and mobile sensing technologies and digital platforms for real-time alerting. It contributes to occupational safety