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at the interface of machine learning, deep learning, geospatial AI, causal modelling, and digital health systems. Your Role You will develop the core AI and data-driven models that transform large-scale
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., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models
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of data integration and normalization of heterogeneous sources • Implementation of a hybrid database for geospatial and temporal storage. • Creation of ingestion pipelines capable of receiving continuous
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
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. For in-unit faculty, the EESP program may be extended to spouses and dependent children (eligibility rules apply). For details on FAU's amazing offers visit us at https://www.fau.edu/hr/benefits/index.php
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Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1, 2020, in City
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learning, geospatial AI, causal modelling, and digital health systems. Your Role You will develop the core AI and data-driven models that transform large-scale exposomic and health data into actionable risk
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
community of scholars in which geospatial analysis and visualisation are used to inform trans-disciplinary research and education. The GIS Specialist will promote the application of Geographic Information
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
Plan The work plan for the research fellow to be hired is as follows: 1. Preparation, processing, and validation of geospatial data; 2. Collection, harmonization, and quality control of cartographic data