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, knowledge-driven models and AI-based decision support can be integrated to support resilient and energy-aware manufacturing systems. Special emphasis will be placed on multi-objective optimization, learning
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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at developing and optimizing radionuclide therapy for prostate cancer and other malignancies. The doctoral training is carried out through participation in the various components of the projects, enabling
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The purpose of the project is to pursue research in pancake sorting, which is a well-known problem in combinatorial optimization which goes back up to a paper of Microsoft founder Bill Gates and Papadimitriou
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doctoral student, your primary responsibility will be to pursue third-cycle education through research projects aimed at developing and optimizing radionuclide therapy for prostate cancer and other
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innovative solutions for future communication networks and sensing-enabled services. Job description The successful candidate will contribute to research on energy-efficient network design, optimization, and
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, ensuring that our quantum devices meet precise specifications. Your main responsibilities will include: • Experimental Design: Develop and optimize setups for post-fabrication frequency trimming
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research is carried out in close collaboration with external partners, both nationally and internationally, and contributes to knowledge development and innovation. Through our collaboration platforms, we
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Engineering and production optimization Documented mathematical, analytical and problem-solving skills. Good knowledge of statistics, AI/ML, and mathematical modeling and programming. Good knowledge in academic