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software. Having experience in R and one other statistical software (e.g. SPSS, STATA etc) will be preferred. 5. Possess the knowledge and skill in conducting qualitative interviews as well as in
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for cross-disciplinary collaborations within NUS and with global academic and industry partners Candidates should possess and demonstrate the following: A PhD and/or M.D. degree in a relevant discipline An
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bioengineering, aquaculture systems, and computer vision. Job Requirements: PhD or Senior Scientist in Bioengineering, Computer Vision, Environmental Technology, Biomedical Engineering, Aquatic Biology, or a
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sorting, NGS, and bioinformatics data analysis - Assist with the planning and execution of the entire project - Mentor to Research Assistant when needed Qualifications • Qualifications / Discipline: PhD in
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, microbiome, or digital health. Skilled in neuropsychological test administration and statistical software (e.g., SPSS, R, Python). Familiarity with microbiome data or multi-omics integration is highly
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. The candidate will work closely with researchers and enterprise stakeholders to analyze existing cryptographic software stacks and drive the migration to quantum-safe alternatives. As part of the national quantum
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of research. Job Requirements: Preferably PhD in Computer Science or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth
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behavioral experiments. Preparing logistics for lab and field economics and behavioral experiments. Compiling, processing, and analyzing data from the experiments using statistics and econometrics software
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conferences and stakeholder meetings. Job Requirements: PhD in Chemistry, Materials Science, or a related field with strong publication record (e.g., Angew. Chem., Adv. Mater., Matter, J. Phys. Chem. Lett
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administrative work associated with the program of research as necessary. Job Requirements: PhD degree in communication, psychology, sociology, or a social science related discipline. Strong foundation in survey