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on the AI-driven design and discovery of novel multifunctional composites (MFCs) with enhanced functional properties. Key Responsibilities: Establishing a comprehensive database of MFCs for analysis and
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and reporting of experimental results and/or research findings. Assist researchers in programming, data analysis and literature review in various research projects. Evaluate and interpret collected data
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and reporting of experimental results and/or research findings. Assist researchers in programming, data analysis and literature review in various research projects. Evaluate and interpret collected data
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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-disciplinary team. The role will focus on the conversion of biomass to low carbon fuels using life cycle assessment and techno-economic analysis of specific technologies develop in the project and compare
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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. Our multi-disciplinary team has developed the CADENCE D-PHA (Digital Personal Health Assistant), a multi-component mobile health application designed to improve medication adherence. The app aims
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will characterize and analysis the thin composite materials and thin film coatings. Key Responsibilities: Support the
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tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer
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, spectroscopies and catalysis, including material design and synthesis, structure analysis, catalysis measurement and data processing Good knowledge in Organic Chemistry and Physical Chemistry Experience in