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project SUSHY (Sustainable Hybrid Structures). The project seeks for new material, smart-structural, and sustainable design alternatives to the industrial fields of marine (ship and yacht design and
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decision-making (for example a research plan, awards, a valid English proficiency certificate, e.g. IELTS or TOEFL) Further information Home page of the research group: https://www.olaresearch.org
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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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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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: 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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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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to mathematical foundations of machine learning. You will be part of the Computer Vision and Pattern Recognition Laboratory at the LUT School of Engineering Science. The lab includes approximately 15 researchers
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approximately 130 researchers and support staff). The InFLAMES Flagship (Innovation Ecosystem based on the Immune System) is a joint organization of the University of Turku and Åbo Akademi University aiming
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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, or innovation studies). This requirement must be met by beginning of the employment. Has demonstrated expertise in qualitative methods, preferably in qualitative comparative analysis Has a solid track record and