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: Developing robust defense mechanisms against adversarial threats and verifiable secure ML solutions. Responsibilities Design, develop, and implement state-of-the-art, post-quantum secure GenAI protocols and
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we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We
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is to provide new scientific knowledge for the development and design of environmentally benign and sustainable materials, unit operations, and production processes. Core competence areas include
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goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design
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, which coordinates the national Photonics Research and Innovation (PREIN) flagship and contributes to Finland's Future Chips initiative, accelerating the development of next-generation integrated
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is the Photonics Laboratory , which coordinates the national Photonics Research and Innovation (PREIN) flagship and contributes to Finland's Future Chips initiative, accelerating the development
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embedded sensing. This position offers a unique opportunity to work on impactful technologies at the intersection of engineering, biology, and robotics in a collaborative and innovation-driven environment
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of operations Decision-making tools and decision support systems Quality and reliability management, Lean Six Sigma Digital and advanced manufacturing, and computational design Product and service innovation in
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partners from KU Leuven, Belgium Design, commission and optimize beam-manipulation devices for optimal ion injection into the Penning trap Integrate the laser-cooling trap with the JYFLTRAP Penning-trap mass
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reproductive health and mechanistic toxicology Basic understanding of experimental design, data handling and statistics Interest in learning computational/data-oriented approaches, such as literature curation