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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 19 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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, plate structures, semantic data models, finite element analysis, and plugin development. The PhD position (full-time) will span 4 years of research and is funded according to standard SNSF regulations
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practice. About the Faculty https://www.kcl.ac.uk/lsm About the Department of Biomedical Engineering https://www.kcl.ac.uk/bmeis About The London Medical Imaging & Artificial Intelligence Centre for Value
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the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
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follow-through. The Facilities Projects group supports UCSF academics and operations by using data analysis and building technology to improve efficiency and reliability of building systems and campus
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analysis, discriminant analysis) basic knowledge of early medieval archaeology in Central Europe diligence, responsibility, reliability openness to change team spirit self-reflection The advantage is
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internal control structures to safeguard assets and ensure the reliability of financial data. Develop and/or update a risk-based monitoring plan for the segregation of duties and reconciliation of accounts
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-scale 2D video datasets, enabling reliable inference across diverse recording conditions, camera configurations, and experimental paradigms. Evaluate model performance across datasets and conditions, and
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help to limit the environmental impact of construction. In addition, most of these materials have good insulation properties and help to regulate the indoor climate of buildings. From the point of view
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involved in the development and analysis of national tests, and the environment additionally engages in research on multilingual and second-language perspectives. (https://www.gu.se/forskning/larande