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modelling and rare-event analysis. University of Trento (Italy) to link UQ models with meta-material configurations and nonlinear dynamics. University of Granada (Spain) for coupling reliability analysis with
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. An interest in risk analysis, structural reliability or digital twin technologies is highly desirable. Your ability to think rigorously, work systematically, and integrate modelling with practical engineering
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: The main objective of this PhD is to develop and validate innovative mooring and anchoring systems, with integrated structural monitoring, to increase reliability and reduce maintenance costs of floating
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to develop and deliver presentations to large groups Experience working in large, highly structured organizational settings Ability to work independently with a high level of reliability, accuracy, and
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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 University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 12 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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University of California, San Francisco | San Francisco, California | United States | about 18 hours ago
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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, 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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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring