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Field
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coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop evidence to support the
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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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for modelling complex international scenarios, allowing policymakers and scholars to anticipate the consequences of strategic decisions, trade agreements, or environmental regulations. Geospatial
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 6 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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causal inference, statistical modelling, game theory, machine learning, natural language processing, geospatial analysis, computational text analysis, or large-scale data analysis. Proficiency in relevant
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learning materials for researchers at different levels of technical experience. Advanced AI for research: Provides instruction and consultation on large language models, prompt and context design, model and
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects