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Field
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implementation of surveillance systems and data pipelines. Knowledge of Structured Query Language (SQL), relational databases, Geographic Information Systems (GIS), SaTScan, and Informatics. In-depth knowledge
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State University of New York University at Albany | Albany, New York | United States | about 1 month ago
weather products primarily using the Python programming language, such as by: using National Weather Service products and models to create forecast graphics and products using observational data like
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George Washington University | Washington, District of Columbia | United States | about 2 months ago
/or text analysis, such as SPSS, Stata, SAS, R, Python, ArcGIS, Atlas.ti, NVivo, GIS, or data visualization tools Demonstrated collaboration skills, with a commitment to supporting an inclusive research
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. Experienced in machine learning and software development in research and production environments. Extensive Python experience, including knowledge of numpy, pandas, Tensorflow and/or Pytorch. Extensive
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also collect soil, water, and plant samples to support environmental research projects. · Data Analysis and Modeling: Employ GIS and image analysis software (e.g., ArcGIS/ENVI) software for remote
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Our main research themes are: Life and its Interactions with Dynamic Environments, and Global Landscapes & Climate Change. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4 years...
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and timeframe Different methods will be used to address the Objectives given above. Objective 1: GIS analysis of historic maps and aerial imagery Potentially capture of new UAV imagery Objective 2
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technologies. This individual must operate independently to craft maintainable, testable, and well-documented code. Candidates should have extensive experience in scientific programming in Python and Javascript
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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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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