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sensing, GIS, and spatial analysis. Demonstrate proficiency in Python or R programming language. Preferred candidates will be versed in recent literature on retention silviculture, early rotation treatments
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the last 5 years Experience in multivariate statistical procedures and basic modelling Data analysis and management programming experience in R or Python GIS experience Excellent written and oral
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to interdisciplinary discussions Office, GIS (Arc/Q), R, Python (basics) English, Spanish (Italian, German, Dutch, Polish beneficial) Strong experience with spatial assessments. Early leadership experiences at junior
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: Strong interest in community engagement, data science, or social impact Experience with data analysis tools (e.g., Excel, R, Python, GIS, etc.) is a plus Excellent written and verbal communication skills
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, or Python. Experience with data visualization tools such as Microsoft Power BI, familiarity with relational databases and electronic health record–derived data, and proficiency in project management
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Twins & Energy Analytics Forecasting & Optimization Algorithms Green Hydrogen Technologies ICT Applications in Energy Systems GIS Applications in Energy Planning Interdisciplinary and innovative research
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(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours 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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scientific concepts to diverse audiences. Proficiency in computer programming (R, Python, or similar languages). This job posting reflects the general nature and level of work expected of the selected
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on research carried out within the ECUME GIS (e.g. Simon Police’s PhD thesis). To this end, working groups will be organised with GIS stakeholders and experts in maritime spatial planning, and realistic