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, and laboratory/field experiments Cost-benefit analysis, General equilibrium model, Advanced econometrics Machine learning techniques including text analysis, and related subjects Well-versed in
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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factors, and data provenance. o Develop data pipelines integrating BIM/IFC, schedules (4D), IoT/telemetry, procurement/ERP, and emissions factor databases. • Analytics and optimization o Apply data
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materials. Experience in mechanical testing methodologies, including wear assessment, fracture strength evaluation, and fatigue testing, alongside chemical analysis techniques like ion leaching and
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qPCR, western blotting and other metabolic-related assays) To perform other related duties, incidental to the work described herein (such as conduct data analysis, ensure the validity and reliability
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qPCR, western blotting and other metabolic-related assays) To perform other related duties, incidental to the work described herein (such as conduct data analysis, ensure the validity and reliability
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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, corporate financial statements, and credit risk analysis, is required. A thorough knowledge of the research field of sustainable economics or finance is highly preferred. Quantitative analytical and/or
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working relationships with people at all levels Proficient in IT skills Good documentation skills, laboratory techniques, and research and data analysis skills Experience Relevant experience as demonstrated
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team