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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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, universal), data-driven detection and estimation, robust adaptive filtering / beamforming for radar/sonar under modeling uncertainties. In addition to research responsibilities, the postdoctoral researcher
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models and analyze human samples from ongoing clinical trials. Engage in the training and mentoring of graduate students. Participate in lab meetings and contribute to a collaborative research environment
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pipelines for data processing, integration, and analysis, incorporating sequence analysis, structural modeling, and AI-based predictive tools. Collaborate with computational biologists and software engineers
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processing, mining, chemical or geological engineering, or a PhD in a related field with mining/mineral processing experience. Knowledge of process mineralogy, froth flotation through past research, coursework
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Condition Modelling Are you interested in developing data-driven methods that improve how water utilities understand, manage, and prioritise their buried infrastructure? We are now looking for a Doctoral
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-on experience with high-performance AI modeling, embedded system implementation, and end-to-end signal analysis workflows, positioning them at the forefront of AI-driven research in radiofrequency spectral
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degradation, and connect them to cell- and pack-level safety performance. · Design model-based and data-driven frameworks for battery management systems, including health monitoring, early fault detection, and