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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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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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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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Details Posted: 31-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165613 We are seeking an outstanding scholar with expertise in hydrological and hydrodynamic modeling
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optimize machine learning (ML) and AI-driven climate risk models for the ClimateIQ project. This position will refine ML approaches to provide high resolution climate hazard information and improve decision
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ecological systems with frequency-dependent selection. Planned projects use dynamical systems, stochastic differential equations and agent-based models, statistical methods for parameter inference, network and
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systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding
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or more research projects supported by ongoing grants (see ICL: Research ). Candidates will be responsible for conducting research in the areas of theoretical and statistical modeling of human visual
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/photometric data analysis, and spectral modelling, are strongly encouraged to apply. Successful candidates will be encouraged to develop independent projects in addition to supporting the research of the PI