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Description Collaborates with the Principal Investigators and clinicians to develop patient specific cardiovascular models and to use these to conduct computational fluid dynamics simulations to inform clinical
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using knock-in models of inherited retinal diseases, and contributing to the development of novel therapeutic platforms. The successful candidate will conduct independent and collaborative research
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics
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) focuses on understanding the neural systems behind human learning and performance, with the goal of developing paradigms to improve both human and AI capabilities. The lab uses computational models
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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of fiber-reinforced polymeric composites; computational modeling of manufacturing defects; progressive failure analysis of composite materials; sustainability of composites; and experimental testing
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Ph.D. Required Other None Additional Preferred Demonstrated expertise in hydrogeology, numerical groundwater flow modeling and experience developing MODFLOW models for groundwater systems 2 years
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. Specifically, the project will: Address a fundamental knowledge gap about how chromatin 3D organization determines transcription at a global scale in an explicitly defined neuronal development model. Integrate
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A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms