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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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language models and large AI models to solve pressing scientific challenges. Polymathic AI has access to computational resources allowing training of large AI models to support this new initiative. We offer
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computer science, machine learning, and science to join our group in a quest to perform breakthrough research. An ideal candidate has strong research skills in relevant areas: machine learning, foundation models
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. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/22186757/junior-research-scientist-in-the-division-of-engineering-x28-electrical-and-computer-engineering
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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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, 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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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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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
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they are robust, secure, and aligned with institutional objectives. Leverage deep technical expertise in designing and optimizing data pipelines, model integration, and evaluating both internal platforms and vendor