14 application-forms "https:" "https:" "https:" "UCL" Postdoctoral positions at Linköping University
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than three years at the application deadline for this job. If there are special reasons for having an older doctoral degree, such as taking statutory leave, then these may be taken into consideration
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application! We are now looking for a postdoctoral researcher for the Division of Vehicular Systems at the Department of Electrical Engineering (ISY). Work assignments Your role will be as a researcher in a two
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application! Work assignments The postdoc project will investigate how children of different age groups perceive and experience different types of interactive artificial intelligence (AI), such as chatbots and
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application! Work assignments AIR2 is a five-year multidisciplinary national project financed by the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity
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application! The workplace You can read about the workplace at Division of Applied Mathematics, WASP at Department of Mathematics and Work at MAI . Work assignments As a postdoctoral researcher, you will
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application! Work assignments The multi-disciplinary centre for cyber resilient AI, RESIST, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers
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application! Work assignments The postdoctoral fellow will work within ASC’s research field ‘ageing and work‘ in close collaboration with the Swedish Research Centre for Return to Work in Later Life RELATE
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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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is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking
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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