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seeking a highly motivated Research Fellow with expertise in computer science, biostatistics, statistics, bioinformatics, computational biology, or other AI-related disciplines. The successful candidate
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statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of
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School, Singapore is looking for candidates with a PHD in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects
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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing
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the context of technology sectors. He/she should have good programming/coding skills such as SQL, Python and/or Java and be competent with statistical packages like STATA or R (STATA preferred). Skill and
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including functional enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems
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, providing guidance on study design, statistical approaches, and data interpretation. Develop subject-matter expertise, taking ownership of thematic areas and leading components of the research program
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains