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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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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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, 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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experience, education, and qualifications Contract Type MUS If other, please specify Recruitment Type Open Position Details General Statement NORM ASBJORNSON COLLEGE OF ENGINEERING (https://coe.montana.edu
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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
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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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community data on plants or invertebrates derived from observations, sensors, or eDNA, in combination with environmental drivers, land-use history, and management. Experience with large and heterogeneous
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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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the design, implementation, and testing of statistical and AI software for analysing large healthcare-related data, including data from electronic health records, medical images, and sensor data from wearable