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research plan, awards) Further information Home page of the research group: https://www.olaresearch.org/ For further information about the position, please contact: Assistant Professor Shaoxiong Ji
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application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally
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computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum
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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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: 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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, 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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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