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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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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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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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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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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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mass and extracted material and can thus provide engineers and decision makers with important information for safety and productivity optimization. Your mathematical, analytical and problem-solving
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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of the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance computing
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and Technical Acoustics is looking for a postdoc for the Swedish Research Council-funded SMILE project (Soundscape engineering with Metamaterial Innovation and LEarning). SMILE develops acoustic design