79 finite-element-analysis Fellowship research jobs at National University of Singapore
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algorithm on Quantinuum hardware. This candidate will contribute to both theoretical development (e.g., complexity analysis and algorithm design) and practical implementation (quantum circuit prototyping and
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these conditions. Independently carry out the design and execution of experimental research required by the research component of the project. Independently design, plan, and execute experimental research aligned
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the Principal Investigator (PI) in managing and executing the research project. Conduct literature reviews, data collection, and analysis using multimodal research methodologies. Design and implement experiments
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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system. • Design, supervise, and conduct prototyping and experimental campaigns, including setup of instrumentation, data acquisition, and analysis • Document and communicate project progress through
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methods for multi-omics data analysis. Potential projects may include developing methods for studying tumor microenvironment using spatial transcriptomics data, proteogenomics integrative analysis
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quantitative and/or qualitative research design, data collection and analysis • Have a good track record in leading research projects and stakeholder engagement. Experience in securing research grants and
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. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with proficiency in statistical software and data analysis tools, particularly
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fluorescent microscopy, polarized light microscopy) and biochemical analytical methodologies (e.g. micro-FTIR, micro-XRD, micro-MRI, micro-CT and so on) Bio-sample preparation Literature review, data analysis
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assessment, early health technology assessment, and/or medical innovation development • Health economic modelling with Markov cohort model/ discrete event simulation • Data analysis or data management using