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The Princeton Plasma Physics Laboratory (PPPL) is seeking to appoint a Computational Scientist to contribute to the advancement of modeling capabilities and physics research pertaining
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, at the rank of professional specialist. The role will analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transition research projects
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for an interdisciplinary research analyst position, at the rank of professional specialist. The role will analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero
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-class research program in cell biology, studying fundamental principles underlying the organization and function of cells and tissues. Researchers utilizing invertebrate and non-traditional models
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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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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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interpret statistical or computational research, and follow developments in the fast-changing field of AI, including but not limited to, familiarity and technical understanding of AI models and their uses and
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debt capacity model. Produce management reports (both financial and graphic) to convey the status of the debt program and to support recommendations. Represent the needs of the department to both
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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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(LLMs), AI systems, and text analysis; to write computer programs to manipulate information, devise programs for estimating econometric models; and to write summaries of research, and perform literature