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, 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 computational
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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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one-page statement of research experience and interests, and a cover letter that includes names and contact information of three references. Princeton University is an Equal Opportunity Employer and
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appointments. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/35482 and submit a cover letter, curriculum vitae, contact information for three references and a brief
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. Applicants should upload: -a cover letter -statement of research -teaching background, interests, and philosophy -curriculum vitae -contact information for three references as part of the application process
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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with measurement electronics for data acquisition, etc. Experience in the following areas is beneficial but not required: nonlinear optics (e.g. optical parametric amplifiers), electrical switching, high
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; a published paper written in the past three years; a statement of no more than 1,500 words describing the doctoral dissertation and proposed research project; uploaded contact information for three
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@princeton.edu. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/37701. Please upload (1) a recent CV, (2) publications list, (3) a research statement, and (4) contact information
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-contact information for three references as part of the application process. Applicants must apply online at: https://puwebp.princeton.edu/AcadHire/position/38481 This position is subject to the