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skills Excellent computer skills—proficiency with computer applications and software including Microsoft applications, CANVAS, Zoom. Fluency with Python, ArcGIS and QGIS is preferred (for ENVS 815 & ENVS
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office hours • Helping students with Python • Updating course materials Qualifications: • At least two statistics courses • Comfort with regression analysis (knowledge of time series methods is a bonus
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documenting programs, using C or Python. Qualifications/Requirements of Position The successful candidate should have a PhD in Computer Science, Engineering or related field. Candidates must have a strong
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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gained through experience or advanced training. Working knowledge of analytics tools and technologies such as SAS, R, Python, MS SQL Server, as well as visualization technologies such as, PowerB and/or
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Python, Ruby, Javascript, and Unix/Linux shell Demonstrated experience and ability in building application software using web frameworks, and troubleshooting web applications Ability to communicate
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MATLAB and Python. Demonstrated experience in publishing in the peer-reviewed literature, both as first-author and as a substantive contributor to team / multi-author publications. Demonstrated experience
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environment including with science team members on active planetary missions. Demonstrated experience in research design and execution including coding in MATLAB and Python. Demonstrated experience in
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to equity, diversity, and inclusion Preferred Qualifications PREFERRED SKILLS Experience with full-stack development Experience with Python, JavaScript, PHP, and/or Perl Experience with scripting languages
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a working knowledge of several languages such as PostGres, MS Excel, JavaScript, Python, C# and R. It is important for the candidate to be adept with QGIS and PostGIS. The ideal candidate should be