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learning, large-scale model optimization, and generalization. To explore scalable optimization methods for large-scale, distributed, and multi-node collaborative training. To conduct theoretical analysis
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
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/cee. We are looking for a Research Fellow, Distributed Acoustic Sensing to advance research on distributed fiber-optic sensing for infrastructure, urban, and environmental applications. The role will
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/cee. We are looking for a Research Fellow, Urban Geophysics and Seismic Noise Monitoring to conduct research in urban and environmental geophysics using distributed acoustic sensing on pre-existing
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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supply chain processes, including transport operations, fleet management, and operational readiness frameworks Model & Algorithm Development: Design, build and implement optimisation models for various
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distribution, and smart-grid applications. The Research Fellow will contribute to project execution, research proposal preparation, industry collaboration, and the dissemination of research outcomes through
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green energy systems design, modelling, analysing the inertia impact on the next-gen transmission and distribution grid network Expertise in EMT & RMS Modelling tools such as PSCAD, DigiSilent