29 power-system "https:" "https:" "https:" "UCL" "UCL" PhD positions at Linköping University
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ability to communicate in English, both orally and in writing. It is important that you are able to work independently, are goal-oriented, and have strong problem-solving skills. Furthermore you should also
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, design, and conduct cutting-edge research on power-efficient integrated circuits (ICs) and transceivers tailored for next-generation 6G systems. To ensure seamless integration, these front-end solutions
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and the national DDLS program. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm https://www.scilifelab.se/data-driven/ https://www.scilifelab.se/units/cryo-em/ https
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the
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that values scientific curiosity, independence, and teamwork. More information about the division is available at: https://liu.se/organisation/liu/isy/rt . The employment When taking up the post, you will be
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available. A full list can be found here: https://www.forsakringskassan.se/english/moving-to-working-studying-or-newly-arrived-in-sweden/social-insurance-system . More information about employment benefits
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learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/en/organisation/liu/ida/stima The project will be carried out in a
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental
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of LLM agents. These attacks exploit the agent’s ability to store, retrieve, and adapt knowledge over time, leading to biased decisions, manipulation of real-time behavior, security breaches, and system
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in