882 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" positions in Sweden
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take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Chemistry is offering a postdoctoral
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en
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and Software Program). WASP | Wallenberg AI, Autonomous Systems and Software Program which is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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international research collaborations to generate cutting-edge research and outreach to further ecology as science and promote sustainable agriculture. More about the Department: https://www.slu.se/en/departments
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Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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department: Pia Nylinder (pia.nylinder@lnu.se) Programme coordinator: Associate Professor Viktorija Kalonaityte (viktorija.kalonaityte@lnu.se) Faculty administrator: Ivana Tomic-Kokic(ivana.tomic-kokic@lnu.se
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systems that are part of sustainable societal development, e.g. batteries and fuel cells. Duties The assistant professor is expected to conduct research at a high international level and develop
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at: https://www.umu.se/en/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 models