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Field
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experience in sensor technologies or IoT being highly desirable. A background/knowledge/passion in agricultural, environmental, or animal science relevant to the project focus will be desirable. Familiarity
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exploring various architectures and unsupervised learning techniques to identify anomalies and diagnose specific fault types based on processed sensor data (e.g., vibrations, currents). Edge device deployment
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Building Information Modelling (BIM) with Structural Health Monitoring (SHM) applying smart sensor networks, Internet of Things (IoT), and resilience-informed design platforms. Furthermore, REUNATECH
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of Information Backbones including Digital Twins and Building Information Modelling (BIM) with Structural Health Monitoring (SHM) applying smart sensor networks, Internet of Things (IoT), and resilience-informed
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. At the Institute of Sensor
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH promotes trans-disciplinary collaboration via multi-stakeholder platforms