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property distributions from process-induced microstructure variations using the ML models created. Work with the extended team to link the simulation of sensor data with new multi-scale processes
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph
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the development and testing of advanced control strategies for building energy systems. The work is closely connected to a real-world pilot case, where measured sensor data will be used for model calibration
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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systems architecting AI/ML-driven clinical and operational decision support Digital health and learning health systems Healthcare operations, resource allocation, and workflow optimization Network, graph
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wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department of Electrical Engineering is an international workplace with
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vulnerable and mobility impaired individuals, and case study analyses. Proposals that use digital technologies in data capture are welcomed, for example GPS (location data) and other sensors that measure
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. For instance, in Computational Hydraulics and Environment, the selected candidate will work on enhancing the reliability of data collected from various sources such as river flow sensors, rainfall gauges, and
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, photonic devices for communications, optical networks, and fiber sensors. SCIENTIFIC CONTEXT Optical fiber forms the backbone of the communication systems. The exponential increase in data traffic is putting
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toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in