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applied remote sensing and geospatial modelling can inform agricultural water resources planning for flood and drought risk management, and (iv) what tools can support better water resources planning
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academic goals with mutual respect and shared inquiry. The position supports research on forecasting agricultural production and yields using geospatial data, machine learning, and ground-based measurements
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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ensuring high quality geospatial data integration. Key Responsibilities: Acquire and harmonize new spatial and aerial datasets for the TreeAI database. Support the development of the TreeAI database by
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. Where to apply Website https://www.academictransfer.com/en/jobs/357259/postdoc-air-quality-emission-sc… Requirements Specific Requirements A PhD in environmental sciences, geosciences, computational
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agencies, land trusts, conservation organizations, and networks to seed growing capacity in nature-based solutions. What You’ll Do: Research & Analysis: Perform literature reviews, geospatial analysis (GIS
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fine-tuning services for geospatial foundation models on JAIF, including performance optimisation and reliability at scale. Build and maintain container- and cluster-based environments for AI model
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operate scalable inference and fine-tuning services for geospatial foundation models on JAIF, including performance optimisation and reliability at scale. Build and maintain container- and cluster-based
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
. Required Certifications or Licensure: No Required Certifications or Licensure Primary Function of Organizational Unit: The Department of Earth and Ocean Sciences (https://www.uncw.edu/earsci/ ) offers
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to have strong quantitative skills and experience of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and