15 embedded-system "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" research jobs at Linköping University
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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://liu.se/en/organisation/liu/ifm/biolo The employment This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time
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participation in regular group meetings and events. You can read about the workplace: https://liu.se/en/organisation/liu/ifm/mdesign The employment This employment is a temporary contract of two years with
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. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/ Linköping University
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Social Robots, which involves several Swedish universities and is funded by WASP-HS (https://wasp-hs.org/ ). The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a
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have recently emerged as promising drug targets for diseases associated with tissue acidification, including ischemic stroke, cancer, and viral entry. Our goal is to better understand how the channels
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technologies. The OEM group is part of the Laboratory of Organic Electronics (LOE) (https://liu.se/LOE ), an internationally renowned research environment comprising more than 150 researchers from diverse
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research grants by the senior faculty members. Read more about our activities at https://liu.se/en/research/cybersecurity and https://www.rics.se/ . The employment This employment is a temporary contract of
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stimulating environment and to contribute to a deeper understanding of the foundations of optimization and their role in modern applications. The position is funded by WASP (Wallenberg AI, Autonomous Systems
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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including