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Field
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Sciences, Mathematical Sciences, Geography / GIS Publication activity appropriate to the teaching and research position and length of professional experience A good understanding of optical and SAR remote
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
(ALS) data and multispectral imagery, methods for spatial data analysis and the use of GIS tools and geospatial workflows, working with environmental datasets, in particular those related to forest
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to enlarge these skills further Interest in interdisciplinary research (past experience with interdisciplinary research is a plus), in particular focusing on hazard, risk and disaster risk reduction GIS
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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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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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software (e.g. ArcGIS, QGIS) and coding environments (e.g. Python or R), collaborating across LUMHR themes, and supporting interdisciplinary research activity. Teaching support may be required, up to a
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 7 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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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