628 web-programmer-developer "https:" "https:" "https:" "UCL" "UCL" research jobs in Singapore
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antimicrobial strategies, lipid membrane platforms, membrane-active compounds, antibacterial and antiviral applications, plant-based bio-material applications, etc. For more details, please view https
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a Research Fellow to develop
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We seek a Senior Research Fellow to advance
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Senior Research Fellow to
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applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with
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, and prepare briefings and research materials for CIL’s programmes. Support and expand CIL’s role in regional and global forums addressing legal frameworks for AI, digital technologies and sustainability
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Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 19/01/2026 Job Description Our research group (https://neuronsignalinglab.org/) is looking for a Research Assistant to serve as
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Researcher (R1) Application Deadline 20 Feb 2026 - 00:00 (UTC) Country Singapore Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly