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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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computational models and reproducible analytical pipelines. Validate automated behavioral measures against expert human coding standards. Develop approaches that support objective measurement of caregiver
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
variability and natural disturbances. The research will integrate NASA Earth observations, spaceborne LiDAR measurements, hydroclimatic information, and Earth-observation foundation models to move beyond static
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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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. This line of research is explicitly focused on the identification of large-scale macroecological patterns using established and innovative statistical modelling approaches. Beyond this research focus
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the economic, financial, institutional and policy conditions required for successful deployment and scale-up. Here at Edinburgh Business School, Heriot-Watt University, we are seeking to appoint up to two highly
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
and terrestrial ecosystems. Research Focus This NPP opportunity invites research proposals that utilize high-fidelity imaging spectroscopy data—integrated with active remote sensing, topographic models
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management by developing technologies that serve plants, people, and planet. By integrating data from plant sensors, production systems, and environmental conditions into advanced models and dashboards, we