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, and scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older
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Studies (SPHS) is a large-scale population-based health research initiative in the Saw Swee Hock School of Public Health, National University of Singapore. This role is vital to the health assessment
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foundational AI and machine learning skills before they enter the full-time programme. Built with cutting-edge technologies such as large language model (LLM) agents, personalized feedback systems, AIAP
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outcomes research work in particular in the area of predictive risk modelling. The position provides the candidate a great opportunity to develop big data predictive analytic skills and work with
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. • Maintain expertise in state-of-the-art data manipulation and statistical analysis. • Strategic and scientific contributions at the indication/protocol/integrated analysis level. • Oversee large scale
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they regulate large protein assemblies involved in mitosis, immune signalling, and protein homeostasis. This role is ideal for someone with strong experimental intuition, precision at the bench, and a strong
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Job Description Job Alerts Link Apply now Job Title: Research Assistant (Quantitative data analysis) (28305) Posting Start Date: 24/03/2025 Job Description: Job Description We are seeking multiple
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of quantitative analytical methods to large datasets. Study key trends and gaps in agricultural sustainability in Southeast Asia. Coordinate and organize workshops with international collaborators. Presentation
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of successful implementations. • Define and operationalise support model for products across the portfolio. Qualifications Experience • Degree in Information Technology, Computer Science, Computer Engineering or
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with a plan for future growth. This role will also play a big part to transform the current data platform technologies into cloud based. This is a hands-on leadership role and the candidate should have