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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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the aim of developing models, tools and competitive technological solutions to support the transition in sectors such as energy, transport and heavy industry. Within a scientifically excellent environment
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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of engagement. Read more at: Department of Computing Science Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven
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well as a highly collaborative research environment. For more information about Nathaniel Street’s research group, see: https://www.umu.se/en/staff/nathaniel-street/ Project description Establishing robust
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to the development and maintenance of acute and chronic pain. The work involves advanced histological and neurobiological methods, as well as experimental models used to investigate interactions between the nervous
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societal collaboration meet. The research topics in the department span fundamental and applied research to contribute to the development of a sustainable society. We are Sweden's largest mathematical
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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; rather, they will be developed in dialogue between teachers and researchers based on the needs and interests of the schools. For more information ULF at Chalmers see: https://www.chalmers.se/institutioner
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Energy Science aims to identify, analyse and describe the major environmental challenges of our time, with the aim of developing models, tools and competitive technological solutions to support the