298 finite-element-analysis positions at Nanyang Technological University in Singapore
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heterogeneous mix of human-driven vehicles (HVs) and connected & autonomous vehicles (CAVs). Scope covers analytical modelling, large-scale simulation, and data-driven analysis, and quantify how platoon intensity
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the Data Management Team, delivering trusted data that strengthens institutional data democratization, promotes data-driven analysis and decision-making, and accelerates digital transformation across
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energy-related systems such as lithium-ion and lithium-metal batteries. Familiarity with high-throughput simulation workflows and materials discovery pipelines. Demonstrated ability to design and fabricate
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Responsibilities: The research assistant will focus on the following tasks: Theoretical investigation and design of innovative cryogenic semiconductor devices. Experimental characterization, simulation, and analysis
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cellulose materials to enhance performance and application potential. Characterize materials using standard physicochemical, mechanical, and structural analysis techniques. Evaluate material performance in
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NLP. Build and optimize LLM-powered solutions for risk management and behavioral analysis. Develop RAG workflows and intelligent agents for financial applications. Collaborate with cross-functional
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collaboration opportunities through visits. Prepare university level MOU / MOA with collaborators, or necessary internal documents such as financial analysis etc under China collaboration projects. As a focal
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post timely journal entries, including Giro collections for rentals and refunds. Develop and prepare management reports to support financial analysis. Support the team in process improvement and
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and handling diverse administrative functions is essential Previous experience in data analytics or statistical analysis is advantageous Experience or IT skillsets to support automation and
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reputable journals and conference proceedings in Communication and HCI. Proficiency in quantitative/statistical analysis and computational techniques (e.g., NLP, data mining). Experience conducting mixed