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bias and inequality. The Postdoctoral Research Associate will work with Dr. Stacey Sinclair on an on-going research project examining how the framing of diversity efforts impacts support for and
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of reinforcement learning in the brain and leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data
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associates for Lara Buchak and Andrew Chignell's research project Philosophy, Religion, and Existential Commitment in Society, part of the Princeton Project in Philosophy of Religion (3PR). The candidate will
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. The successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental experimental research related to multiple ongoing projects, including
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their residency at Princeton to assisting with research and to their own work. Eligible candidate must have less than five years of post-PhD research experience prior to anticipated start date. This is a one-year
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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
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researchers working on an NIH funded project focused on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
for this position will work to develop a conservative machine-learning based sea ice model correction that can be applied to fully coupled climate model simulations. The project will involve: 1) the development of a
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employed by another institution during the term of their Princeton appointment. Applications will be evaluated based on the applicant's previous accomplishments, the promise of the proposed research project
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assisting with managing the lab and projects. We also expect that you will collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related