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: 272540334 Position: Development and analysis of Global-Nest and Global Storm Resolving Models Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA's
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programs for estimating econometric models, and create and manage an active internet site are important aspects of this position. In addition, the successful candidate should be able to write summaries
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science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our current strengths reflect the traditional focus of the Laboratory on magnetic confinement
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mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our current strengths reflect the traditional focus of the Laboratory
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to senior University executives. This entails evaluating and enhancing the business processes utilized in Capital Plan model to ensure both the efficiency of operations and the appropriate stewardship
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design, Multiphysics modeling and microfabrication in a collaborative mindset to drive projects from concept to completion. This role involves leading one or more innovative research projects in particle
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vitro and in vivo including analysis of mouse model of obesity and cancer. This is a one-year appointment with the possibility of extension. Depending on the prior experience of the applicant, candidates
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, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models
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The Pena lab primarily studies the molecular mechanisms of brain development and the impact of stress across the lifespan, using a mouse model. This position will support the lab generally through
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earth system model data, with an emphasis on Seamless System for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements