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treatments using machine learning, R/Python and Google Earth Engine. Selected candidate will use cartographic principles and conventions sufficient to create maps for external and internal use that display
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, housing, transportation, rural communities, urban planning, education, or poverty Proficiency in one or more the following statistical software programs: R, Python, STATA, or SAS. Minimum Qualifications
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Job Reference: 1060352 About the Role: As a GIS Specialist, you will be responsible for providing technical expertise and ensuring the accuracy of spatial data used by PF&D and its stakeholders. You
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: Proficiency in Python, R, machine learning, and image processing Experienced with spatial data, GIS tools, and sensor datasets (e.g. LiDAR, hyperspectral) Strong collaborator with excellent communication and
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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain
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Related Experience Experience working with data such as analysis, visualization, or wrangling in a professional or academic setting using any of (but not limited to) the following tools: REDCap, Python, R
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-advising on study design, data quality, analysis strategies, visualization tools, and dissemination practices. Conduct complex quantitative analyses using statistical software such as R and Python on large
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Ingenious Partner: Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar Strong proficiency in Python, Angular/React, and Java for application
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, and Python. Experience with cloud systems is highly desirable. Manages over a thousand data services with Python GIS administration tools. Communicates with the Texas A&M Account Manager to ensure
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. This is a unique opportunity to serve as the founding member of a new lab at Stanford. The gut microbiota—dense, diverse microbes inhabiting the GI tract—drives host metabolism, xenobiotic processing, and