56 statistics "NATIONAL UNIVERSITY OF SINGAPORE" Fellowship research jobs in Singapore
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Job Description The successful candidate will work with Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis. The main responsibilities of the position include: Lead the research projects Train juniors (PhD or undergraduate students) Assist and help with...
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Job Description The successful candidate will work with Dr Zhu Ruyi under a project on Modified DNA/RNA for biomedical applications and biocatalysis. The main responsibilities of the position include: Lead the research projects Train juniors (PhD or undergraduate students) Assist and help with...
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PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines) • Strong interests and expertise in traffic simulation, statistical modeling
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Job Description The National University of Singapore invites applications for Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo
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years in life science/BME or relevant field More Information Location: [[The N.1 Institute of Health, National University of Singapore, Centre for Life Sciences, 28 Medical Drive, #05-COR, Singapore
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programs and in-depth knowledge, skill and expertise. Additional requirements • Expertise in quantitative data analysis methods for surveys • Relevant programming experience for statistical analysis
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Job Description The Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research
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and research team Perform data cleaning, statistical analysis and data visualization using a variety of statistical methods including bioinformatics platforms such as R and Python Perform literature
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Campus]] Organization: [[National University of Singapore]] Department : [[Global Asia Institute]] Job requisition ID : [[23793]]
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing