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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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colorectal cancer organoid culture integrated with perfused microvascular networks. The role will focus on optimizing and standardizing vascularized organoid workflows, executing drug-response and combination
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the team of the NAMIC Project for 3DP Ship Hull Design. The Research Engineer will play a critical role in the development, validation, and optimization of 3D-printed Ship Hull and Connector System
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to optimize the design and performance of floating breakwaters. Develop models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze
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. Key Responsibilities: Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration. Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact resistance
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design and execute experiments using lung cancer and lung infection Organ Chips. Develop, optimize, and characterize human lung microphysiological models for translational studies. Analyze and interpret
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learning, Large Language Models, Stochastic optimization, Transfer & Evolutionary optimization, Bayesian optimization for complex design in material and engineering. Key Responsibilities: Collect relevant
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required to develop and demonstrate single-photon light detection and ranging (LiDAR) systems by integrating in‑house single‑photon detectors. The role will assess various LiDAR configurations, optimize
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research experience in a related field, specifically demonstrating a track record of combining electro- and photochemistry within automated platforms, utilizing analytical feedback to control and optimize
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information