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information about Dr. Dzakovich’s research please visit: https://www.bcm.edu/research/faculty-labs/michael-dzakovich-lab Job Duties Constructs and validates intrinsic labeling systems for a variety of food
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
focused on environmental applications for air quality management. This will include acquiring datasets related to multiple air quality sensors from diverse data sources, develop open-source, easy to use
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wastewater. This includes sensors and sensor networks for detection of these targets and testbeds for the validation of technologies developed. INSTITUTIONS HIRING: Northwestern University University
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Avignon, Provence Alpes Cote d Azur | France | 2 months ago
capacity. You can take advantage of the current dynamic around sensors at PSH to strengthen existing collaborations, especially with the EMMAH unit for the use of proxy or remote sensing tools (for example
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, and treatment across the lifespan Digital behavioral health interventions integrated into primary and specialty care Wearables, sensors, or digital biomarkers for remote patient monitoring and early
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, including renewable energy sources and energy storage systems.Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy infrastructure (e.g
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environmental sensors. ● Demonstrated experience with conventional construction or shop tools. ● Computer aided design software experience, such as SolidWorks or AutoCAD. ● Proficient with Microsoft Office and
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometer, drone with hyperspectral sensor, and satellite imagery) that can be a
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of novel and autonomous marine monitoring technologies (gliders, micro-AUVs, buoy stations with fixed and profiling sensors). Designing and organizing oceanographic experiments. Implementing autonomous