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Field
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evaluate advanced networked systems that enable new forms of remote care and emergency support services under realistic conditions. You will be mainly in charge of: • Contributing to the design and
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for healthcare and dependent care expenses Responsibilities* Integrate survey and administrative datasets with environmental data (e.g., remotely sensed temperature and air pollution) Perform econometric analyses
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to climate, environment, or sustainability challenges. • Required skills: o Strong quantitative background, with expertise in one or more of the following: statistical modeling, machine learning, remote
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
and analyze data from our INSTEP network in conjunction with others. Sensor data fusion along with remote sensing instruments (Pandora, AERONET) and satellites (TROPOMI, TEMPO) will serve to validate
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of solution platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven
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experimentation with our partner surgeons (both in the lab and in the OR). The position requires physical presence in the lab at IIT in Genova, Italy. Remote work is not possible. Your main responsibilities will be
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networks), and the integration of these ground-based observations with state-of-the-art remote sensing information describing forest structure and function. The position will require computationally
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-global) predictions of erosion patterns. In addition, the generation of new data, for example through remote sensing of suspended sediment, is encouraged and offers exciting research opportunities. The 41
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: This position will be a one (1) year full-time term limited appointment with the possibility of renewal. Integrate survey and administrative datasets with environmental data (e.g., remotely sensed
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Corporation (GRDC). The project is led by CSIRO with the University of Sydney leading the component on the assessment of soil health using remote sensing. The postdoctoral position will be based in