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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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strategy, the processing of sensor data (laserscans, images, pressure, etc.), as well as the reactive control of robotic arms. In order to apply for this position, the candidate should possess in-depth
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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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Systems program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: How does the brain synchronise
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to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems that act as autonomous micro
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; Regional, national, and international collaborator programmes. For more information on our research, please see Prof. Barbour’s current group website at https://academic.sun.ac.za/barbour/Home.html , as
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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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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