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Field
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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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sensors, RGB/IR cameras, video systems, insect traps, and other devices to build predictive, AI- and machine-learning based models for monitoring grain quality and detecting deterioration due to mold
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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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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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 17 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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in devices, heart rate sensors), Contribute to lab operations. Salary range In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $75,000 depending
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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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and temporal changes in soil moisture and subsurface properties. Integrate ERT observations with complementary sensor networks and environmental observations. Collaborate on coupling geophysical