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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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an emphasis on technology, data science and the humanities. LKCMedicine is searching for a Research Associate/Fellow in the field of Learning Analytics (LA) / Machine Learning (ML) under Professor Andy Khong
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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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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
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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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' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics (MOE TRF 2/25 ZG) Project Introduction: We’re seeking a versatile Research Associate with a strong foundation in JavaScript and
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for novel methodologies and understanding of the research questions, Acting as a source of information and advice to other members of the research team, especially on computational matters Enabling large