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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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Analysis for Planning Renewable Energy (MapRE) initiative, a spatial analysis platform for planning renewable energy deployment, and GridPath, an electricity system planning and operations analysis platform
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University of California Agriculture and Natural Resources | Oakland, California | United States | 2 months ago
programming. Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software. Demonstratable skill and experience with data visualization and presenting data in accessible formats
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
. Nous étudierons les relations entre les caractéristiques intrinsèques et extrinsèques de la MW, à l'aide d'une approche multimodale (imagerie spatiale/hyperion, immunofluorescence multiplex, séquençage
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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, please visit our website at https://www.cruk.cam.ac.uk/research-groups/gilbertson-group/ Project details The central nervous system (CNS) represents a uniquely regulated immune environment that changes
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(landscape) ecologist with a broad, interdisciplinary interest with experience in spatial analysis of interactions between land use and biodiversity. Your work includes teaching courses in environmental
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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, and spatial), RNAseq (bulk, single-cell, and spatial), and other multi-omic approaches in collaboration with the appropriate institutional core facilities. In addition, cultures mammalian cell lines