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or Masters of Engineering degree. Candidates are expected to be fluent in electrical circuit design, microcontroller programming, optical design, and Python programming. Introductory (or higher
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as part of a team. Experience with programming languages such as Matlab or Python is a plus. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment
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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
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applications including R, python and GitHub Strong background in and knowledge of remote sensing with a variety of data sources Experience with USDA Forest Service Forest Inventory and Analysis (FIA) data
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in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
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data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay Questions (goals
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received within five years of the appointment start date. Highly competitive applicants will have education and/or experience in one or more of the following: Familiarity with Python or R and their related
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audiences. We’re looking for someone who: Can apply data science to real-world problems. Is comfortable with Python, R, SQL, or similar tools for analysis and modeling. Can translate messy datasets
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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, python and GitHub Strong background in and knowledge of remote sensing with a variety of data sources Experience with USDA Forest Service Forest Inventory and Analysis (FIA) data Experience with geospatial