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). Experience with data visualization and model interpretability. Personal Skills Self-initiative. Capacity to work independently and communicate efficiently. Strong problem-solving mindset. Strong writing skills
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Technology. (For a complete list of our major and minor degree programs, please go to: https://www.mtu.edu/vpa/). Our faculty specialize in acting, art, music, sound, theatre, and entertainment technology
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motivation for teaching at a small, liberal arts college as well as their vision for the role of photography in a visual art program, curriculum vitae, ten images of their own creative work (with captions
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
for a Research Associate/Data Analyst to work with the Program on Health Workforce Research and Policy. The Data Analyst will support research processes across the Health Professions Data System, Carolina
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Website https://umustipendie.varbi.com/en/what:job/jobID:893573/type:job/where:39/apply… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå universitet
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or wish to use the studios. They conduct periodic evening, night, and weekend walkthroughs of art production studios in the Corn Center for the Visual Arts, One Arsenal Place, and the Seaboard Depot on CSU
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University of California Agriculture and Natural Resources | Davis, California | United States | 7 days ago
practices to ensure consistency, maintainability, and alignment with UC ANR IT. Contributes to project management, business analysis, technical architecture, user experience, and visual design as part of
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Applications” located on your Candidate Home page. Closing Date: 01/23/2026 Type of Position: Police and Security Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name
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participates and frequently leads huddles, step backs, all-office meetings, and improvement hours Understands and can explain alignment between team and department goals, as well as the visuals in the streams
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datasets leads to poor performance. Visual anomaly detection can offer a solution, but does not provide defect identification and is often hard to tune in practice. This project will focus on an autonomous