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Information Science or Data Science. Knowledge, Skills, and Abilities: In-depth knowledge of and proficiency teaching Python, Java, and Linux/Unix is a must. Preferences: Preferences: Knowledge of additional
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identification and prediction via software such as Python and R. Also, background in field design and statistical data analysis in the context of agriculture and applied plant pathology. Key responsibilities
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ArcGIS Dashboards. Proficiency in Arcade and developing SQL queries. Advanced knowledge of Python and GIS-relevant programing and scripting methods. Knowledge of modern web design and development practices
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% of the time. Preferences: Preferences: Software Experience: 3+ years’ experience (professional or student/academic) including many or all of: Robot Operating System (ROS) or similar robotics software C Python
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lifecycle, including continuous integration and deployment. Experience with a programming language, such as Go, Python, or Ruby. Experience using version control systems, such as Git, and engaging in code
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proficiency in SAS, Stata, and Python is required for this position. Preferences: Preferences: Preference will be given to those who have Special Sworn Status and experience working with restricted-use Census
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applications in Python and/or Java. Knowledge, Skills, and Abilities: Expertise writing and tuning SQL queries. Experience deploying, configuring, maintaining, and upgrading production-level database servers and
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analysis, with experience in languages and tools such as Python, IDL, MATLAB, C/C++, R, PyTorch, TensorFlow. For the Assistant Research Professor level, a proven track record of independent research and peer
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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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: Analyses Utilize statistical programming languages including but not limited Stata, SAS, R, Python. Perform data linkages. Perform statistical analysis of large dataset to investigate the associations