Sort by
Refine Your Search
-
Listed
-
Field
-
"Ferris Lab Postdoc Inquiry 2025". Applications will be reviewed on a rolling basis, until the position is filled, with a final deadline of June 30, 2025.
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions
-
://puwebp.princeton.edu/AcadHire/position/36402 and submit a cover letter, CV, a research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and
-
ultrahigh vacuum (UHV) surface science facilities enable: (i) measurements of surface composition, structure, and thermal stability using AES, LEIS, XPS, and vibrational spectroscopy; (ii) quantitative
-
://puwebp.princeton.edu/AcadHire/position/36402 and submit a cover letter, CV, a research statement that includes your specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and
-
may send official transcripts to F/Q Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08544. We will begin reviewing applications on January 15, 2025
-
) measurements of surface composition, structure, and thermal stability using AES, LEIS, XPS, and vibrational spectroscopy; (ii) quantitative determination of the flux and fluence of incident atoms, ions, and
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
and atmosphere components of existing coarse resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs
-
to participate in projects that research and refine quantitative methodology for political science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact
-
subgrid physics in the ocean, sea ice and atmosphere components of existing coarse ( to 1) resolution IPCC-class climate models, and their coupling, using machine learning. The postdoc will be expected