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emphasizes applied software development while spanning domains such as robotics, computer vision, sensing, controls, data analysis, and embedded systems. The engineer will work on interdisciplinary projects
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: Preferred Other Computer Applications: Graphing software Preferred Additional Knowledge, Skills and Abilities: Email to a Friend https://unmc.peopleadmin.com/postings/96620
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well as working knowledge of and the ability to operate the digital and computer equipment and systems used in printing and copying. May be responsible for providing lead work direction to student assistants
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
core function. Work requires higher level skills and a broader or more specialized knowledge base of reprographics, as well as working knowledge of and the ability to operate the digital and computer
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Bachelor’s Degree in Computer Science or a related field or equivalent experience. Four years’ experience in software systems administration and support: designing, installing, configuring, and troubleshooting
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. Connections working at Fordham University More Jobs from This Employer https://main.hercjobs.org/jobs/22137235/business-intelligence-developer Return to Search Results
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or Microsoft Teams), and data analysis software. Preferred Qualifications Previous experience working in Extension. Experience disseminating program results through scholarly outlets (e.g., peer-reviewed
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
, and scale software engineering, data engineering, and AI enabled research technologies that align with scholarly goals and best research practices. The Research Data & AI Solutions Specialist works
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https://main.hercjobs.org/jobs/22110457/senior-peoplesoft-developer-analyst-ii Return to Search Results
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale