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Field
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, along with a strong technical foundation in GIS for facility and infrastructure mapping. Essential Job Duties Document and Data Management Oversee the organization, archiving, and retrieval of project
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administration. Some experience in command-line-based operating systems and scripting. Some experience in GIS. At least one (1) year of experience with Google Cloud or AWS/Azure Platforms. Education and Experience
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app As part of the Earth Systems Research Center within Earth, Oceans, and Space, NH GRANIT is the state of New Hampshire’s GIS
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programming language such as Python, C, or C++. (Required) Demonstrated proficiency with Microsoft Windows software including Word, Excel, MS Access or SQL Server Management Studio. (Required) Demonstrated
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technologies and methodologies, and Geographic Information Systems software (e.g., ArcGIS, QGIS), Python, and Matlab is required. Knowledge of other programming languages (e.g., C, C++, R, Javascript) is
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analyses such as RNA‑seq library prep, single‑cell workflows, qPCR, Western blotting, ELISAs, and multiplex assays. Integrate multi-omics datasets using R or Python; collaborate with bioinformatics core
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the community to share research findings with the public Qualifications Required Qualifications ● A master’s degree in geography, GIS, environmental science or a related discipline by the start date with one or
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) years of professional experience in a hydrology context with: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing
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: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development