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Field
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chain monitoring and anomaly detection Supply chain optimization and resilience analysis Integrate experimental data with physics-based and data-driven models Conduct laboratory, pilot-scale, and/or
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Chalmers University of Technology is looking to hire a postdoc for a minimum of two years, with the possibility of a one-year extension, to work on single-nanoparticle microscopy using a planar
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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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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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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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, 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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-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
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within various scientific and engineering disciplines, including ground-based, airborne, and satellite measurements, numerical modelling, and data analysis. The division's goals are to enhance