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and sensors. This is a part-time position, working 19.5 hours per week. What you need to know Schedule: May have to work on the weekend and/or after normal hours. This is a part-time position, working
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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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of agricultural water use. Specific focus areas include applying AI/ML to analyze remote sensing and sensor data for predicting crop water requirements, advancing irrigation scheduling, and supporting real-time
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operate a real time VOC sensor (proton-transfer-reaction time-of-flight mass-spectrometer, PTR-ToF-MS) and analyze resulting data alongside genomic and metabolom. Outstanding UA benefits include health
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
Data Exchange Standard (ADES); (2) modernizing short-term impact monitoring through adaptive search algorithms for systematic ranging (Scout); and (3) refining long-term impact prediction via improved
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figures for publications and grants. Calcium imaging: Utilizing calcium dyes or genetically encoded calcium sensors (i.e. GCaMP) to measure and quantify intracellular calcium levels in a live brain slice
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societal performance of HBGI interventions. • Support the setup and monitoring of experimental HBGI deployments, using tools such as LiDAR, wave sensors, sediment elevation devices, and biodiversity
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. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming, analysing and
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling