612 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Newcastle University" research jobs in Singapore
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. The position is suited for candidates who enjoy working with real-world data and translating quantitative insights into planning, design, and policy applications. The successful applicant will join a growing
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data processing and analysis for a large-scale and recurring population health survey. This survey investigates and tracks the health status and lifestyle of local populations and aims to provide timely
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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setting Knowledge and experience in Educational AI-related projects and research is important. Responsibilities: Working with related LLM and database, Data scanning and collection, data analysis with
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 11/03/2026 Job Description The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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Marine Science Institute (TMSI), we acquire high-quality marine environmental data that supports environmental monitoring. The reliability of our work depends on the quality of our instrumentation and the
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implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal publications Assist in supervising research
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looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics, metagenomics, proteomics, and metabolomics data in a new project investigating
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research data in both languages. Competence in data organisation, transcription, and basic qualitative analysis. Good working knowledge of digital tools for documentation, data storage, and research