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                Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learningand 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 
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                engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for materials characterization. Use of HRTEM 
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                engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for UHV surface science 
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                package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer 
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                specific plans and goals for advancing equity and inclusion if hired as a Princeton postdoc, and contact information for three references. This position is subject to the University's background check policy 
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                of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and 
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                , and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational 
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                Process - All candidates must use the online application process to submit materials at: https://puwebp.princeton.edu/AcadHire/position/39861 Applicants are required to hold a Ph.D. or expect to receive a 
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                are for one year. Applicants cannot be in the process of writing a dissertation at the time of appointment.A selection committee of Department of African American Studies faculty members evaluates applicants 
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                information about The Program in African Studies can be found at: http://piirs.princeton.edu/afs. Questions about the application process for this position may be directed to Fiona Romaine, fromaine