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Field
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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experience on numerical modelling of aerodynamic and/or hydrodynamic loading on structures. The applicants shall demonstrate the following experiences: Teaching at undergraduate and graduate levels
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-doctoral researcher with a strong quantitative background in biology, evolution, or social science, and previous experience in mathematical modeling or behavioral experimentation. Purpose: Complete a multi
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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academic and non-academic settings, involving design, building, and validation/testing of tissue optical spectroscopy and/or imaging equipment, as well as computational modeling of the interaction of light
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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studies on scaffolds and in vivo testing in disease models; maintaining accurate and organized experimental records; presenting findings at national and international conferences; preparing manuscripts
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian