72 finite-element-analysis Fellowship positions at National University of Singapore in Singapore
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generation, experimental design, and scientific problem-solving 2. Data Interpretation & Publication Perform data analysis, interpret findings, and translate results into manuscripts and reports. Prepare and
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their role in cellular stress responses. Experimental Design and Data Analysis Design and execute experiments using advanced techniques such as deep sequencing, mass spectrometry, iCLIP, phase separation
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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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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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analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region. The Institute is
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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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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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. 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