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such as green hydrogen and CO/ethylene from CO₂ reduction, but optimisation is complex, involving interdependent variables across catalysts, supports, ionomers and operating conditions. Working as part of
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suitability, scientific curiosity, and motivation. Additional merits Experience in one or more of the following areas will be considered a strong advantage: Complex cellular systems, including organoid models
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complex X-ray equipment Strong documented research experience of experimental or theoretical studies within the areas of (bio)physics, physical chemistry or equivalent Assessment criteria This is a career
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and Gravitation, the Centre for Dynamical Systems, Statistical Physics and Complex Systems, and the Centre for Mathematical Education. About Queen Mary At Queen Mary University of London, we believe
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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deep expertise in human-computer interaction (HCI) and user interface design for complex systems, with a focus on participatory design and natural-language control. We welcome candidates from an HCI
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environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
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Chemistry, Materials Science, or a related field with a with hands-on fertilizer manufacturing process and formulation. Experience in designing and characterizing simple and complex fertilizers Good knowledge
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job One Postdoctoral Research Associate position is available in the Department of Aerospace Engineering and Mechanics (AEM