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, all candidates are invited to read carefully the NUSTPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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systems. Uses spatial databases to store and query location‑based data. Familiar with tools that process or convert geospatial data. Follows security best practices when building GIS applications
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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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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and other data
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. Preferred Qualifications / Skills: Preference will be given to candidates who combine fieldwork with geospatial approaches, and/or work with large datasets. Candidates that can contribute to the establishment
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and ability to work in interdisciplinary teams. Desirable: B1 Knowledge of geospatial data structures and visualisation tools. B2 Skills in user-centred design, including working with collaborative
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, and uncrewed aerial systems (https://www.uwyo.edu/soc/index.html . Research Computing & Remote Sensing Resources UW offers exceptional resources for computational and geospatial research, including: A