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Anticipated Salary: $63,480 (recent PhD) Compensation will be competitive and commensurate with qualifications and experience, including benefits. Key Responsibilities: The incoming postdoctoral researcher will
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
Science, remote sensing, oceanography, or equivalent Experience with Mitgcm, satellite data processing, and in-situ data analysis preferred. Understanding of the processes happening at the ice-ocean
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three years before the date of the employment decision. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: PhD in physical geography, remote sensing
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vertically. The project combines urban studies, remote sensing, 3D modelling, environmental science, architecture, political science and participatory approaches to investigate the environmental, social and
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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/login.aspx Requirements Research FieldCultural studiesEducation LevelPhD or equivalent Specific Requirements Candidate profile Education: PhD degree in biomedical engineering, computer science, artificial
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; strong written and verbal communication skills; ability to work effectively across multidisciplinary teams; experience in digital health, remote monitoring, human sensing, medical devices, or clinical
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Digital Twins You will apply Artificial Neural Networks (ANNs) to develop efficient digital twin representations of shoreline systems. By training ANN models on diverse datasets—including remote sensing
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performance of cropping systems in the U.S. Midwest. The successful candidate will analyze existing experimental and on-farm datasets on corn and soybean production systems, integrate drone and remote-sensing