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to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data management, and data
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related to agriculture, soil, water, environment, or engineering Experience with GIS, R, Python, Matlab, and similar advanced software platforms is desirable Experience with data organization, data
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 8 days ago
analysis, gravity models, Bayesian models, etc.). In this regard, proficiency in software is required: programming languages such as R or Python, machine learning, econometric softwares, data management
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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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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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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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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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: 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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adaptation engineering, probabilistic assessment and GIS modelling. The researcher will primarily be based in University College Cork (UCC) but will also work with world-leading academics from the University
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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