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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
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collaborative projects, work with and help mentor graduate students in our Program, participate in the regular SGS seminar series and other Program activities, and assist with relevant undergraduate or graduate
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are for one year with the possibility of renewal pending satisfactory performance and continued funding. This project is funded by the NSF award "Non-local magneto-curvature instabilities and their associated
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responsibilities will include conducting research, disseminating research results, collaborating on robotically fabricated structures, and assisting with managing the lab and projects. We also expect that you will
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catalysis, and/or plasma-assisted catalysis is of significant value to participate in other ongoing projects in the lab. Experience with the design, construction, and operation of high-vacuum instruments and
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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using
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advance regenerative medicine. For more information about the lab, please visit https://mesa-lab.org/. Projects will utilize in vivo mouse models, transcriptomic techniques, and advanced intravital imaging
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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