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Postdoc in Carbon Capture, Utilisation and Storage Techno-Economic Assessment Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment
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postdoc position in Real Estate, beginning August 2025. The selected candidate will collaborate with UC faculty and corporate partners on research in the application of state-of-the-art analytics
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procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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, or forest management. Project Overview The postdoc will contribute to the Silva21 research program, which aims to develop innovative strategies to enhance the resilience of Canadian forests in the face of
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observation data, including drone-based data (RGB, LiDAR, hyperspectral). Strong skills in geospatial and statistical analysis (e.g., GIS, remote sensing software, R/Python). Experience in data preprocessing
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Expectations: The Postdoc will be expected to complete research projects under the guidance of the faculty mentor, record and interpret the results of quantitative analyses, prepare publication-quality