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decision support Analysis of large-scale geospatial, sensor, and remote sensing datasets (e.g., multispectral, hyperspectral, LiDAR) Predictive modeling for crop performance, resource efficiency, and climate
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: This is a 12-month, full-time position with benefits. Visas may be arranged. You can find more information on benefits for Harvard employees here: https://hr.harvard.edu/health-welfare-benefits. Basic
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Project (https://excelsior2020.eu/ ), ERATOSTHENES CoE aspires to become a Digital Innovation Hub for Earth Observation and Geospatial Information by offering knowledge, responsible research, open
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imagery; ii) Collection and analysis of field data; iii) Land use and land cover studies with a focus on agricultural systems; iv) Organization and management of geospatial databases, preparation
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, and proven experience with geospatial data. Salary Range: €43,000 - €55,000 Per Annum Appointment on the above range will be dependent upon qualifications and experience. Closing date: 12:00 noon (local
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vulnerability index for ZD children, as well as other geospatial and modelling analyses (WP1) Teaching and/or third mission commitments: • Support the project lead partner in communication, dissemination
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skills in remote sensing, geospatial data analysis, artificial intelligence or machine learning, and environmental or agro-meteorological modelling, as well as experience handling large Earth observation
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The Geospatial Data Analytics (GDA) Lab is establishing a specialized research position focused on high-performance computing, artificial intelligence, and computer vision. Unlike traditional engineering research
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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University tenure track system (please see www.aalto.fi/en/tenure-track ). The position is full-time. Geospatial technologies and data are fundamental to the development and planning of landscapes