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Help build the model library at the heart of UTOPYS, a new national facility for real-time power system simulations. Job description Future power systems are converter-dominated, fast, and
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different areas of mathematics. One position will focus primarily on geometric and structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical
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transverse modes domain). You will be involved in the system modeling, the design of protocols, and the security analysis. A broader topic of interest is the use of PUFs in quantum security schemes in general
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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Engineering or a related engineering discipline from a well-established university with a proven record for independent researc A solid background in batteries, battery management systems, battery SoX modeling
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independent researc A solid background in batteries, battery management systems, battery SoX modeling, thermal management of batteries, battery lifetime estimation and development of experimental setups
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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will work at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), within the Department of Microelectronics . Here, you will join an interdisciplinary research environment
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be