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Field
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with Indigenous and/or rural communities. Experience in community engagement Knowledge and awareness of Indigenous and rural health and Indigenous health research ethics. Statistical analysis, geospatial
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chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data
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: 7269203 Postdoctoral Associate, Geography Position Information Position Title: Postdoctoral Associate, Geography Department: Geography Posting Link: https://www.ubjobs.buffalo.edu/postings/63077 Job Type
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related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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. The postdoctoral scholar will be recruited through the Environmental Studies Program at the University of California, Santa Barbara. Department: https://es.ucsb.edu/ Lab: https://www.riversystem.science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, this will include the refinement of clinical research data models, development of ingest and QA/QC pipelines, and support for geospatial data visualization. The work will be performed in several cloud and/or
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and work with open and geospatial (GIS) data. Experience of hygrothermal / indoor-climate and moisture-risk assessment in buildings. A documented record of scientific publications. Ability to work in
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and heterogeneous datasets, which may include climate projections, electricity-infrastructure records, solar-resource data, energy-demand data, urban geospatial data, economic input–output tables, and