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hydrodynamic stability analysis that has applications in the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development
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when extending an offer. The ideal candidates will hold a PhD, have multiple years of prior research experience using a model organism, and a track record of peer-reviewed publications. Prior experience
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Postdoctoral Associate to investigate the neural mechanisms underlying continual learning in humans. The successful candidate will develop computational models examining the tradeoff between task
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Postdoctoral Researcher to join our team in building next-generation Foundation Models for Science at NYU Courant and the Center for Data Science (CDS). You will join a team composed of domain scientists
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a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method
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via autophagy and lysosomal targeting in learning and memory and disease models using rodents and iPSC-derived cell cultures. These mechanisms will be investigated in both healthy conditions and
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immune system dynamics and therapeutic interventions. Develop and apply biophysical and bioinformatics models to analyze immune responses. Identify and validate novel biomarkers and molecular targets
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chemistry, battery systems, interfacial electrochemistry, or metallic glass synthesis is desired. The position involves collaboration with theoretical modeling groups and utilization of synchrotron X-ray