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Field
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materials, while having the opportunity to shape a new research capability with broad impact across quantum networking, communications, and computing. Research Focus Design and fabricate superconducting
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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, root imaging) with biogeochemical, microbial, or environmental sensor data. Experience analyzing large datasets in reproducible formats (R, etc.) Demonstrated interdisciplinary and systems-level approach
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 18 days ago
electronics for microwave multiplexing of large arrays of superconducting transition-edge sensor (TES) bolometers and kinetic inductance detectors (KIDs) to enable the next generation of ground-based, balloon
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exchange, adsorption, precipitation, or related unit operations Experience with instrumentation, sensors, data acquisition, and control systems for laboratory-scale process equipment Demonstrated ability
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Department of Electrical and Computer Engineering. The Postdoc will particularly participate in the design and development of integrated system-on-chips for wireless sensing, communication, and implantable
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, Biology, or related field. Experience with one or more of the following techniques would be preferred: polymer synthesis, device fabrication, animal experiments, wireless circuits. Term This is a term
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). Equipment Utilized Microsoft Word, Excel, PowerPoint, Adobe; Cognitive Assessment; Indirect calorimetry with metabolic measurement; Wearable sensors/actigraphy and data processing; Statistical software
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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize