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Field
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. Experience with GIS data analysis, data cleaning/curation, and integration of multiple data formats (including CAD). Working knowledge of SQL and relational databases for GIS workflows. Experience with Python
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 3 hours ago
or territorial studies. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R
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, such as Matlab, Python, R, Stata and GIS. Preference will be given to those with experience in handling large-scale gridded datasets (e.g., spatial panels and raster data) and proficiency in Python for data
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 3 hours ago
. Preference will be given to candidates with aptitude for working in disaster risk management environments supported with GIS and Machine Learning, basic programming skills (e.g., Python, R, or similar
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, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets to allow public access to analysis, and to drive legal and academic scholarship. Coordinate with
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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. Experience in GIS (Geographic Information System). Experience with data programming like Python and R. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition
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. Experience in GIS (Geographic Information System). Experience with data programming like Python and R. Work Authorization Requirement: This position is not eligible for visa sponsorship. Candidates must be
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(GIS)and management of raster formats (NetCDF or GeoTIFF). Programming (Python, R or similar) for data processing and process automation. Other requirements to consider: Promoting teamwork and
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: Geographic Information Systems (GIS) and management of raster formats (NetCDF or GeoTIFF). Statistical models (time series analysis, probability distributions). Programming(Python, R or similar) for data