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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 25 days ago
the Student module (Banner), this position is responsible for ensuring the accuracy, reliability, and functionality of key academic systems, including Banner and Degree Works. Key responsibilities include
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environment, be highly motivated and reliable, be able to work to strict deadlines Preference will be given to candidates with experience in isolation of bacterial strains, pigment analysis, and food
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and
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with quantitative data analysis, data management, and an interest in issues related to policing will be an advantage. We value reliability, curiosity, and the ability to work independently while also
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Number AE2025-0515 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0515.pdf CALL FOR GRANT
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(if different from Position Title) Job Summary The student will perform data collection and data analysis to investigate the performance of large scale RFID deployments. Why should YOU consider student employment
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Title (if different from Position Title) Job Summary The student will perform data collection and data analysis to investigate the performance of large scale RFID deployments. Why should YOU consider
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY
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, for the collection and analysis of data To conduct data analysis To ensure the validity and reliability of data at all times To maintain accurate and complete records of all findings To write reports for submission
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this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Tuesday, 27th January 2026. Late applications will not be considered. Further information may be obtained from http://www.um.edu.mt