12 embedded-system "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" Postdoctoral research jobs at Linköping University in Sweden
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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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; Conservation Biology; Zoology, Ethology and Animal Welfare; Evolution and Genetics; and Cell and Microbiology. You can read about the workplace here:https://liu.se/en/organisation/liu/ifm/biolo The employment
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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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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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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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that develops new knowledge and innovative solutions for sustainable working life in an ageing population. The work is conducted in close cooperation with the Professor Ageing and Later Life and other researchers
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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