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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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impact assessment methodologies (e.g., ReCiPe, TRACI). Demonstrated ability to compile, validate, and analyze complex environmental data from diverse sources. Excellent scientific writing skills with a
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in Health Research Methods, Epidemiology, Computer Science, or a related field. Expertise in evidence synthesis and clinical guideline methodology such as network meta-analysis, GRADE. Experience with
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and journals. You will be expected to: Conduct cutting-edge research in: Multi-Agent Systems (MAS) for complex, dynamic, and uncertain environments. Multi-Agent Reinforcement Learning (MARL), including
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. Competencies: Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application. Strong analytical and
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-efficient modelling for complex multiscale flow phenomena relevant to coastal engineering, turbomachinery, and additive manufacturing. This position is central to advancing AI-augmented fluid dynamics and
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of imaging this highly dynamic and complex organelle. Our lab has developed various quantitative and super-resolution imaging tools specifically designed for studying the Golgi, including en face averaging
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arrays tailored for chemical and olfactory sensing applications. Develop and implement advanced materials and structures for high-sensitivity, selective sensing within complex environments. Conduct
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complexity in neuroimaging research, it continues to play a key role in advancing both basic and clinical research. We seek a Research Fellow with strong hands-on expertise in designing and conducting
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execution of complex experiments or simulations, and mentor junior researchers. Responsibilities Lead and execute research projects related to quantum computation, particularly the generation and control