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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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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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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
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appointment, with potential renewal based on performance Appointment Start Date: September 1, 2025 Group or Departmental Website: https://htdatalab.stanford.edu/ (link is external) How to Submit Application
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includes the Departments of: Communication, Languages and Cultures Criminal Justice English: Literature, Teaching, Pre-Law, and Creative & Professional Writing Intelligence Studies, Geospatial Science
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interdisciplinary approaches using pedology, hydropedology and geospatial analyses to investigate how land use affects soil properties and terrestrial processes. Alabama is a coastal state, and expertise in
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Familiarity with Docker, Kubernetes, and distributed cloud environments Experience with civic tech, open data platforms, and geospatial applications Front end experience with HTML, CSS, JavaScript/TypeScript
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website at https://seas.umich.edu/about/seas-values . Who We Are Cooperative Institute for Great Lakes Research (CIGLR), is part of the University of Michigan's School for Environment and Sustainability
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integrating multi-modal data (e.g., time series, geospatial data, text, and image - including both hydrological and human-related data) and capturing complex, non-linear relationships (Bommasani et al., 2021