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identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications
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ideological and theological messages, especially in contexts of low literacy and absence of media. Using the most comprehensive dataset of visual art in Italian churches, combined with computer vision methods
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
at The University of North Carolina at Chapel Hill More Jobs from This Employer https://main.hercjobs.org/jobs/22148339/research-data-ai-solutions-specialist Return to Search Results
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: $93,720.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United
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4 Mar 2026 Job Information Organisation/Company Complutense University of Madrid Research Field Arts Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline
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» Modelling toolsComputer science » ProgrammingComputer science » Systems designYears of Research ExperienceNone Additional Information Website for additional job details https://www.bip.pw.edu.pl/Praca-w
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Position Information Posting Number S06545P Position Title Data Visualization Librarian Department Library Location Arlington Position Status Full-time Work Schedule Monday – Friday; 8:00am – 5:00pm
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- computational neuroscience Alexander Williams - development of computational techniques to look for patterns in complex neuroscientific data Jonathan Winawer - function of early visual pathways using
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. MongoDB) and client server systems. • Interest in developing data visualization dashboards. • Ability to work independently and within a multidisciplinary team. • Sense of responsibility, organizational
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 7 hours ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software