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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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familiarity with health-related datasets. Additional Qualifications: Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols. Experience with exposome
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/GIS, education, or a related field. A strong GPA is important, but not the only requirement. Most of the research will be focused on technology-enabled solutions to aviation problems, therefore, skills
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) Requirements: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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identify technical resources and future needs. Monitors and maintains the updates of GIS related software on PC workstations including but not limited to ArcGIS Pro, QGIS, R and Python. Maintains general
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Position Details Position Information Recruitment/Posting Title Research Scientist II (GIS) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Cancer Registry
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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data collection using the SigCap Application. Data processing and analysis in Python. Assess how environmental conditions and context (weather, indoor/outdoor settings) influence reception quality
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate