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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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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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variety of case studies also allows studying diverging trends, e.g. paying attention to both population growth and decline. The analysis will build upon recent detailed spatially explicit data developed by
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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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. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
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and groundwater flooding (groundwater rise). Strengthening hydrological and hydrogeological monitoring, coupled with better integration of geological knowledge into spatial planning and supported by
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. • Design and implement studies on themes such as recreational quality, mental well-being, social connectivity, and resilience—integrating geospatial and spatial-temporal analysis to assess patterns
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of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and
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profiling to determine the spatial and functional requirements of enhancers, and (4) tissue processing and molecular analysis of patient-derived clinical samples. The Eyler laboratory possesses a rich
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translate into concrete health outcomes. The BRANCH project wants to change that. By combining conceptual work on green space typologies, advanced geospatial analytics, AI-based image analysis, citizen