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Field
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greenhouse gas emissions (CO₂ and CH₄ dynamics). Proficiency in data analysis and geostatistics using programming languages and tools such as Python, R, Fortran, or similar software. Experience managing
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specialize in statistical methodology, data visualization, interactive dashboards, and Geographic Information Systems (GIS). The successful candidate will: (1) Provide methodological expertise and leadership
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
algorithms that aim to solve specific translational or scientific questions in a variety of diseases including hematological malignancies, organ transplant rejection, neurodegenerative diseases, and breast/GI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
variety of diseases including hematological malignancies, organ transplant rejection, neurodegenerative diseases, and breast/GI/brain/neuroendocrine tumors. Your work may include: basic methodology
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floods and other hazards. Leveraging data-driven methodologies and innovative tools, such as CHARM and CommunityViz , our award-winning GIS-based scenario planning software, we facilitate collaborative
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candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non-quantitative aspects
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University of California Davis Health System | Sacramento, California | United States | about 2 months ago
Research and Community-Based Participatory Research Experience and knowledge of Python programming Experience with GIS methods Special Requirements This position has the flexibility to be mainly remote
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clubs You should possess a relevant Ph.D/D.Phil with post-qualification research experience, possess specialist knowledge of geospatial energy modelling and optimization in Python and GIS, plus experience
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issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non
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, ArcGIS Online, and analytical toolkits such as Spatial Analyst and Spatial Statistics. Experience utilizing python scripting to automate GIS analytical workflows. Experience working with SQL-based