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and problem-solving of e-resource product access issues Assists with data-gathering and analysis for resource renewals and new subscriptions. Assists the supervisor on projects (electronic packages
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biostatistics, infectious disease modelling, and geospatial analysis. You will be part of the Center for Statistics, a dynamic research team within the Data Science Institute, with extensive national and
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analysis, interpretation, and communication is required. Desired Qualifications* LSA doctoral students within their funding package are preferred. A mastery of quantitative methods in the social sciences
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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analysis tools. Demonstrated experience assisting with the planning, organization, and execution of volleyball camps and clinics. Familiarity with administrative responsibilities within a volleyball program
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deep learning, on the topic “Analysis and Reconstruction of Digital Data Fragments”. This internship is intended for students at M2 level, or in the final year of an engineering school, interested in a
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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, thrive in a dynamic environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https
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growth. Crop and soil analysis: Perform detailed analyses of plant tissues, soils, and fertilizers to assess nutrient uptake, soil health, and fertilizer efficiency. Use advanced analytical techniques
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developmental biology and physiology using imaging, image analysis, lineage tracing, and water stress experiments. Work includes greenhouse tree studies and Arabidopsis experiments in climate-controlled chambers