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and society. The vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and
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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
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. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted
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cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Runtime Security Assurance. Once trained, AI models can be
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culture, and is a true academic and cultural hub. Find out more about moving, living and working here at https://internationalhub.uppsala.se/ Application deadline: 2026-06-30 Place of work: Umeå Scope: 100
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configuration optimisation, where efficient and timely solutions are critical for ensuring safety, capacity, and sustainability. In modern air-traffic control, the primary objective of controllers is to ensure
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leading MIMO researchers who is a part of the research group: https://ieeexplore.ieee.org/abstract/document/6736761 The main focus of the doctoral student at LiU is machine learning for D-MIMO systems
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position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted
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the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your