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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
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applications for the innovative frameworks and designs developed in the programme Manage the project timeline and collaborate with other research staff to address technical challenges. Regularly report progress
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for Aumovio through close collaboration with its business units. This research position is related to Project C3 “Communication over In-Vehicle Powerline” of the Aumovio-NTU corporate lab Phase 2 program. We
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focuses on a host of Interdisciplinary Research Programs, Flagship Programs, Consortium Platform and an Accelerator Programme that covers the energy value chain from generation to innovative end-use
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academic background in machine learning and convex optimization. Prior experience in federated learning, edge computing, or healthcare applications is highly desirable. Proficient in Python and ML frameworks
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The Coastal Protection and Flood Management Research Programme (CFRP) aims to advance knowledge in coastal and flood resilience and spur the growth of a vibrant research and development ecosystem
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optimization of connectors Fabricate connectors and conduct lab tests Publish several papers in top journals. Write proposals for further development. Mentor students Job Requirements: PhD degree in civil
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window and solubility, suitable for our DDR therapeutics program Discovery of lead small molecules for DDR therapy from Singapore medicinal plants Develop the synthetic route of lead small molecule
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interactions in vitro and in vivo. Here, the work will be devoted to the derivation, characterization and optimization of neural progenitor cells from human induced pluripotent stem cells for in vitro cell