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Field
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to management. RESPONSIBILITIES Software Development: 50% Develop, modify, debug, test, and maintain C#/.NET, JavaScript, Python, and web-based applications. Design, develop, and deploy AI/ML models and
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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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to show leadership in scientific projects commensurate with career level. Skills 8. Quantitative skills for analysis of complex spatial survey data, such as via a GIS 9. Numerical skills appropriate
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication
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Preferred qualifications At least 1 year of experience in data analysis. Clean, efficient coding abilities, preferably in R and/or Python. Experience working with geospatial data in R, Python, and/or GIS
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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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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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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