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investigators. Contribute to study design, data collection, analysis, and interpretation for translational pathology projects (e.g., NGS, IHC, spatial assays, image analysis). Design and perform wet laboratory
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, and full-stack development, supporting the deployment of intelligent, data-driven solutions that are reliable, efficient, and user-focused. Key Responsibilities: Design, develop, and maintain scalable
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, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity
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. Requirements: Essential Bachelor’s degree in sciences or social sciences Experience with data collection (qualitative and quantitative) Excellent written and spoken English Good analytical and critical thinking
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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Unit: Office of Research Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 19/12/2025 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a
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Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with
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environmental conditions Design and implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal