162 finite-element-analysis uni jobs at Nanyang Technological University in Singapore
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savings analysis, and alignment with industry standards. Provide accurate, timely financial data to support management and regional finance teams, including variance analysis, capital expenditure tracking
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position will help advance research in geochemical analysis, climate and environmental changes, climate-driven health challenges, and statistical methods. This research theme can help the understanding
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microstructures. The PO will also support the project Crystal orientation control through laser metal deposition for enhanced hydrogen embrittlement resistance. Key Responsibilities: Participate in the conduct
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Principal Investigators (PIs) in meeting the objectives outlined in the project work plan. The researcher will be responsible for assisting with identification and analysis if ecosystem services, social
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consultants and contractors. As space is finite, and the School is growing, the staff will have to constantly review the existing spaces and propose solutions to repurpose the existing spaces to cater
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for Correlation of Defect Analysis from X-ray CT results to Fractography Failure Analysis from Fatigue Tests Key Responsibilities: Conduct Correlation studies between XCT and Fatigue Test experiments. Write a
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attention (e.g., infographics, GIFs, animations, and visual storytelling elements) while ensuring alignment with the academic rigor of the original research. Create captivating titles, summaries, and
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management, especially on the application of human factor in interface design for air traffic management. Responsibilities: Assists in development of the assessment framework for controller workload
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) Build mock data generators and unit tests for isolated component validation Requirements: Minimally Bachelor in Computer Science or related fields with minimum 7 years of experience. Strong Python
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Learning. We are looking for world-class candidates with expertise in dynamical systems, numerical analysis, stochastic analysis, and with experience in applying these domains to recurrent neural networks