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, ensemble Kalman filters, and physics-informed neural networks (PINNs) enforce conservation laws while fitting observations. The key is to apply the vast amount of physical insights developed in turbulence
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. For further information on the School go to https://www.unsw.edu.au/science/our-schools/chemistry The Senior Research Associate is a central role within the ARC funded Industry Laureate project, leading
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence , consisting in partners of national and international research institutes and
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics workflows, and data
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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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for quantum technology applications, including quantum computers and space-based quantum sensors. For these research activities, we are looking for a Scientific Employee (m/f/d) for quality assurance in a
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38339 Job Number SE156824 Position Information Department or Unit Name Fowler School
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Marie Skłodowska-Curie Industrial Doctorate (ENGAGE Network) 21.10.2025, Wissenschaftliches Personal We are looking for a Doctoral Candidate (DC 3) to work on as-built model updating using sensor