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) with expertise and interest in Large Language Models (LLM) for Energy Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune
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-microenvironment interactions during cancer progression. Ludwig Princeton Branch is dedicated to accelerating the study of metabolic phenomena associated with cancer to develop new paradigms for cancer prevention
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position to work on a new collaborative project in a team with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop
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; those hired at more senior ranks may have multi-year appointments. In addition to the aforementioned project, the appointee will have opportunities to develop additional projects with members of Dr
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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of the Princeton Precision Health (PPH) initiative is to revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced
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project, the appointee will have opportunities to develop additional projects with members of Dr. Sinclair's lab and/or maintain their on-going work. The work location for this position is in-person
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on an Individual Development Plan generated by the researcher.The work location for this position is in-person on campus at Princeton University. The desired start date is fall or winter 2025. We will begin
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Science and Engineering, or a related area is required. The position will involve developing models and algorithms for the evolution of inorganic aerosols in the atmosphere, building upon the research
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in