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with growers and industry clientele. FAA Part 107 certification or experience with UASs. Knowledge and experience in data science including spatial and temporal analysis of imagery data, GIS, or machine
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-doctoral experience in plant ecology. Experience with environmental data analysis (R, multivariate statistics). Experience in GIS. Strong scientific writing skills and command of scientific English
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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, geospatial analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude
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analyses and/or statistical modelling, satellite data retrieval; preferably experience with Pascal programming language and R or Python and geographic information systems (GIS); a proactive attitude and the
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relevant software, especially with R Experience with analysis of geographical data, including GIS software Excellent knowledge of the central European flora, including mountain plants Excellent knowledge
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quantitative methods, with a strong emphasis on GIS and spatial analysis. A central part of the work will be to trace the effectiveness of colonial health interventions across time and space, linking observed
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thermal imagery and in aquatic systems. Demonstrated experience in large-scale data management, which may include spatial modeling, expertise in R, Python, GIS, or other platforms. Expertise in study design
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spatial data (GIS); Cooperating in the preparation of research reports, scientific articles, and presenting research results at academic conferences; Participating in administrative and organizational tasks
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experience of population dynamics and of capture-mark-recapture data; Demonstrated experience in data analyses (R or equivalent, GIS); Skills in scientific writing; Excellence in collaborative, communication