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, philosophy, or a related discipline, and have a strong interest and track record in designing, understanding, or engineering of AI models or methods and their applications in cognitive science. AI Postdoctoral
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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boundary layer and apply them to ocean climate models. Our previous work demonstrated that neural networks can learn to predict the vertical structure of vertical diffusivity and the networks can then be
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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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scientists to join the NOAA Research Global-Nest Initiative. This multi-laboratory project aims to develop ultra-high resolution atmospheric prediction models for better prediction, understanding, and
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the neural mechanisms underlying our cognitive abilities and they utilize the Rodents as a model organism to apply a combined computational-experimental approach to their studies of decision-making, executive
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experiences. If this environment sounds like a strong match or even an exciting challenge, we encourage you to apply and use your cover letter to explain why you would be a good fit for the role. The term
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with legal counsel, helping to structure and enable new investments. Develop financial models to evaluate alternative tax entity structures. Engage with legal counsel and/or tax advisors on regulatory
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receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI models, or their applications in science and engineering. AI Postdoctoral
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methodologies for modeling and analyzing spatially embedded networks. This project aims to advance the understanding of infrastructure systems by leveraging spatial networks to capture complex interdependencies