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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 20-Aug-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 277393135 Position: 2025 Postdoctoral Research Associate - AI/machine learning for analytical and...
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Princeton University, Program in Applied and Computational Mathematics Position ID: 639 -PDRA1 [#24843, PACM2025] Position Title: Position Type: Postdoctoral Position Location: Princeton, New
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the applicant: *Cover letter *Curriculum vitae *Transcripts *Research Proposal indicating plans for two-year postdoc (maximum 5 pages double-spaced) *Dissertation abstract (including Table of Contents) *Writing
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be sent to amferris@princeton.edu with the subject line "Ferris Lab Postdoc Inquiry 2025". Applications will be reviewed on a rolling basis, until the position is filled, with a final deadline of
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"Ferris Lab Postdoc Inquiry 2025". Applications will be reviewed on a rolling basis, until the position is filled. Expected Salary Range: 65000-70000 The University considers factors such as (but not
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matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https://puwebp.princeton.edu/AcadHire
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; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Jun-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 272540364 Position: Postdoctoral Research Associate Description: The condensed matter spectroscopy...
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: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
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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