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different ways, such as conductive concrete, structural batteries, supercapacitor, smart device like energy harvester, sensor, etc.); Conduct testing of all relevant aspects of advanced concrete material
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-separation methodology for efficient plasma delivery to electrochemical sensors. • Characterize plasma separation performance including separation time, yield, cell carryover, and robustness across
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clay layers). Data Collection & Monitoring: Execute extraction and replenishment tests; install and calibrate salinity sensors, piezometers, and flow visualization tools (dyed freshwater injections
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This postdoc will work under the supervision of Dr. Guanyi Wang in ISEM at NUS to explore cutting-edge algorithms, derive rigorous theoretical guarantees, and implement numerical simulations
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hardware troubleshooting of mobile bases, manipulators, and customized end-effectors. • Conduct sensor calibration (LiDAR, RGB-D cameras) and maintain the hardware health of the robot fleet
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with Photonic/Optical sensors include spectrometer and/or LiDAR • Familiar with programming and data visualization • Familiar with AI, machine learning • Creative and
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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on research topics related to AI in Education. We are looking for a candidate with prior research experience in both AI models/algorithms and learning sciences/education background. This will help in