270 information-security-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" Fellowship positions in Singapore
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research fellow position is welcome. The selected candidate will work closely with the professor(s) at the Department of Industrial Systems Engineering and Management (ISEM), National University of Singapore
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Location_ONB: Kent Ridge Campus Posting Start Date: 12/09/2025 The Role The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore
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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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virology and cell-based experiments, including immunological and functional assays. Conduct metagenomic and evolutionary analyses. Develop and apply bioinformatics and Al-based tools for data analysis and
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International Law Employee Category: Research Staff Location_ONB: Bukit Timah Campus Posting Start Date: 19/01/2026 Job Description The Centre for International Law at the National University of Singapore is a
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, treatments and control strategies (such as vaccines). EID is also working towards developing partnerships throughout the region with the development of laboratory and epidemiologic capacity, training
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, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 12/09/2025 The Role The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation