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well as interpretability of scientific foundation models. The rush to build foundation models has led to the development of large machine learning models in Astrophysics, fluid dynamics, biology, weather prediction, solar
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on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we are looking
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focuses on building and understanding foundation models for science, and in particular modeling complex interconnected systems from astronomy, biology, fluid dynamics to solar physics. For this position, we
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Research Scientists as part of its new initiative, Polymathic AI, Building Foundation Models for Science. Recent advances in machine learning, including Large Language Models and diffusion based generative
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-time Postdoctoral Researcher to join our team in building next-generation Foundation Models for Earth System Modeling at NYU Courant Institute School of Mathematics, Computing, and Data Science. In
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applied to financial engineering and decision modeling within the context of economics and finance. Areas of interest include, but are not limited to, stochastic analysis, optimization, control and game
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Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts. The postdoc will be expected to lead independent
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at New York University Abu Dhabi, seeks to recruit a motivated Junior Research Scientist to work under the supervision of Dr. Marwa Chafii on Channel Modeling for integrated sensing and communication
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, and can analogous mechanisms be engineered into multi-agent AI systems? You would answer this question by building and testing computational models, developing multi-agent simulations where agents
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learning, memory, and/or decision-making - Experience and/or interest in conducting developmental research - Experience with computational modeling approaches - Experience acquiring, analyzing, and