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Field
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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single-cell and spatial transcriptomics to uncover the mechanisms driving cell state rewiring and therapeutic resistance in cancer. This project is funded by CRUK Cancer Grand Challenges REWIRE-CAN
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Generative AI Integration Generative procedural urban modeling and rule induction Semantic enrichment and automated feature extraction Reconstruction or inference of structural detail from sparse spatial
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environments. • Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data, reinforcement learning, spatial modelling, or real-time nowcasting. • Demonstrated
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, trace element and isotope micro-mapping and spot/traverse analyses (fs-LIBS, Vitesse-TOF-ICP-MS, and Neoma-LA-MS/MS-MC-ICP-MS) to quantify spatial and temporal variations of fluid properties with respect
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analysis results, including regression results, and spatial analysis, including visualizations and maps; ● Run power calculations for randomized controlled trials; ● Assist in reviewing, synthesizing, and
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understanding the dynamic processes behind uncertainty quantification of offshore wind forecasts. Understanding the spatial uncertainty information needed for real-time grid management, market integration, and
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this gender political gap. The project aims to combine survey data on political opinions and spatial data on mobile network access across Europe, employing cutting-edge empirical methods to establish causality
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Position Details Position Information Internal Posting? Posting Number SP005144P Position Title Postdoctoral Fellow - Forest Service Division/College College of Science Department Earth and Spatial
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dementia. The Bourdenx Lab at the UK DRI, led by Dr Mathieu Bourdenx, focuses on how age-related loss of cellular fitness in the brain drives neurodegeneration. Using cutting-edge spatial biology and single