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Field
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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
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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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. Ubuntu) is essential.. Knowledge of GPU computing, CUDA programming, model optimization, and industry experience in engineering software development would be an advantage. Excellent written and oral
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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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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their chemical structure and composition through structure–processing–property correlation analysis and model-based optimization of processing parameters. Leveraging these methods, we will demonstrate
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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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Conversion of Biomass” is looking for a Postdoctoral Researcher in Development of automated self-optimizing small-scale flow processes. The primary objectives are generation and optimization of automated flow
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models, and foundation models Strong programming skills in Python and deep learning frameworks such as PyTorch Experience with large-scale experiments, model optimization, and performance analysis
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nanoparticle catalyst, and optimization of enantioselective metal-catalyzed reactions. The role will focus on autocatalysis particularly related to amplification of enantiopurity. The candidate should also have