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Field
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protocols such as TCP/IP. Familiarity with interpreted scripting languages such as Python or Bash. Knowledge of database concepts and/or familiarity with SQL. Exposure to geospatial analysis and GIS concepts
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS
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and statistical skills (e.g., such as Python, IDL, MatLab, C/C++, R, TensorFlow) are required. Candidates at the level of Assistant Research Professor must have a demonstrated ability to independently
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statistics. Knowledge/Skills/Abilities A high level of skill in GIS, computer modeling, data analysis using SAS. Good working knowledge of programming languages VB, R, or Python. Knowledge about coastal