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Field
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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of statistical analyses and modelling. Experience in handling and analyzing large datasets. Experience in employing high performance and cloud computing services. Knowledge in GIS. Knowledge on obtaining
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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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meetings, supervising/mentoring graduate and undergraduate students). Additional duties as assigned. Knowledge, Skills, and Abilities: Advanced Python and ArcPy programming skills. Advanced v-sri software
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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within the past 3 years in Environmental Science, Geography, Computer Science, Atmospheric Sciences, or related field. Advanced GIS and geospatial computing expertise. Demonstrated commitment and ability
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with STATA, R, Python or related statistical software. GIS expertise is ideal. Application Process Please submit an online application and attach the following documents: Short statement of research
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area Travel to Nîmes (the model city) is to be expected. Knowledge of statistical analysis and modelling, analysis of complex networks, statistical mechanics Knowledge of R, Qgis, GIS software and
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analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using geographic information systems (GIS
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, computer science, environmental engineering or in a relevant science subject area with an affinity for renewable energy integration, spatial analysis/GIS and programming; has proven experience in programming