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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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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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and geospatial tools to address fundamental questions in biogeography. Resulting maps and models will be used to characterize patterns of biodiversity, spatial turnover (β-diversity), and habitat
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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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, and an on-campus children’s center (https://www.asi.calpoly.edu/childrens-center/). REQUIRED QUALIFICATIONS An earned doctorate (Ph.D.) in Geospatial Engineering, Geomatics, Civil Engineering, or a
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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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is launching a new strategic plan in 2024-2025. For more information, visit https://www.kennesaw.edu/ . Location Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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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