11 requirements-engineering-"https:" "https:" "https:" "UCL" "UCL" uni jobs at Linköping University
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forefront of Europe’s AI development and contribute to building the next generation of AI infrastructure? We are now looking for a Team Lead for AI Technology & Tools who wants to take a strategic and
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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Instrument responsibility The person we need The person we need has a PhD degree in a relevant field. You need to have documented experience in ring-opening polymerisation and method development for chemical
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now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se
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, experience and expertise are required: A PhD or equivalent e.g. a master’s degree with several years of working experience in natural sciences, computational sciences, engineering or mathematics. Experience in
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position In this role your responsibility is
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application! We are looking for one or more PhD student(s) to the Division of Communication Systems at the Department of Electrical Engineering (ISY). Your work assignments Much of the traffic in 6G networks
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of Sweden and is part of the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en We are now looking for
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application! The position We are looking for a Bioinformatician with experience of working in a core facility who has a broad competence with some specialization in microbiology. Duties will involve upkeep
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metrics defined in the protocol. The main challenge in dose planning is to find an acceptable compromise between the dose to the cancer tissue and the risk for harmful effects of the treatment, and to take