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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
, 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.In
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/acad-positions/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
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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Values. The teaching will likely involve running a senior thesis seminar rather than teaching a traditional course, subject to approval of Princeton's Office of the Dean of the Faculty. The postdoc will
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approval of Princeton's Office of the Dean of the Faculty. The postdoc will be expected to participate in a year-long research seminar for visiting fellows and Center faculty, as well as a year-long seminar
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who are unable to upload unofficial transcripts may send official transcripts to Politics Postdoc Search, Department of Politics, 001 Fisher Hall, Princeton University, Princeton, NJ 08540. A PhD is
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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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, C# and C++ is desired)Fluency in EnglishDesired qualifications:Experience with Robot Operating System (ROS)Experience with sensing technologies, computer vision, and perceptionExperience developing
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required, C# and C++ is desired)Fluency in EnglishDesired qualifications:Experience with sensing technologies, computer vision, and perceptionFoundational knowledge of machine learningExperience developing