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organization of project-related datasets and related activities. You will also support exploratory data analysis and visualization in close collaboration with other project scientists. You will join an
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, • automate processes in ArcGIS (Python), • check the consistency of outputs, • visualize spatial data and create cartographic outputs, • You can come up with your own research project in the field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, and priorities by visiting https://library.unc.edu/about/strategic-framework/’. Position Summary This position may be eligible for a hybrid work arrangement to include a partially remote work location
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
, and priorities by visiting https://library.unc.edu/about/strategic-framework/’. Position Summary This position may be eligible for a hybrid work arrangement to include a partially remote work location
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. or more Push/Pull Weight: 100 Lbs. or more Physical Environment: Inside medical Facility Noise Level: Moderate Visual Requirements: Color discrimination, Depth perception, Far visual acuity Near visual
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and project a positive image. Ability to lift 40 pounds above the waist. Ability to read room-usage reports. Preferred Qualifications Experience working with audio/visual equipment. Experience in set-up
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XR Job description Navigating complex public transportation environments is an enormous challenge for many individuals with visual, hearing, motor, or cognitive disabilities, limiting
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publication editing, bioinformatics analysis, neuroimaging analysis, statistical analysis, data visualization, and histology. Develop and maintain reproducible workflows using Python, R, or comparable tools
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. THEATRE 3511, Introduction to Costume Design students study the elements and principles of visual design and the processes of the costume and makeup designer. There will be hands-on projects creating
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technical development and real-world implementation of autonomous mobile robot assistants in long-term care (LTC) settings. The Fellow will work with the UBC IDEA lab (https://idea.nursing.ubc.ca