47 gis-python-"NTNU---Norwegian-University-of-Science-and-Technology" positions at University of British Columbia
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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be
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. This position will work alongside researchers to compile a GIS data set for east coast salt march and eelgrass, gather training data for a shoreline modification project, and compile data on BC eelgrass
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, or the equivalent combination of education and experience. Demonstrated proficiency in either R or Python programming, including working knowledge of relevant generative AI/ML packages, libraries, and frameworks
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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completion to deadlines. Develop scripts and data processing pipelines using R or Python, leveraging advanced expertise for data processing, model development, and data visualization. Work with senior staff
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data
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and application configuration issues Coordinates with GIS Analyst to ensure GIS applications problems are resolved quickly Manages Faculty level mailing list memberships, coordinates with Dept ML
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas