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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral
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the importance of visual language, spatial thinking, material exploration, and conceptual development. Possess demonstrated knowledge of contemporary art theory, design principles, and the historical context of 3D
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our department is looking for a Research
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. To perform successfully in the position the appointee should have research and/or teaching experience in at least two of the following disciplines: spatial statistics and modelling spatial data-based
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | 2 months ago
chaudes naturelles des Pyrénées-Orientales, situées à la frontière entre l'Espagne, l'Andorre et la France. L'objectif est d'analyser et de comprendre leur variabilité spatiale (température, composition
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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research