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Field
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 6 hours ago
Science Program with its UAS fleet, the Earth Science Projects Office, and the Airborne Sensor Facility, and is associated with related local capabilities in intelligent systems, supercomputing, flight
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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research in digital and high-frequency electronics, embedded systems, control, and communication, utilizing cutting-edge reconfigurable computing and sensors. The aim is to develop next-generation
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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, and wearable device and protective equipment performance assessment. This will involve using digital twin technologies, 3-dimensional body scanning systems, an array of field data collection sensors
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
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magic, quantum circuits, quantum algorithms (3) Quantum many body computations, including sign problem theory, Quantum Monte Carlo method, DMRG, and machine learning Appointments of postdoctoral
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of fluorescent biological sensors, DNA/protein purification, mouse survival surgery, two-photon microscopy and analysis, patch-clamp recording, single-cell electroporation, software development, optogenetic
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. The most recent methodological research of the group includes algorithms for cell type deconvolution, high-resolution purification, and integration of single cell multi-omics data. This postdoctoral fellow