116 phd-communication-and-signal-processing Postdoctoral positions at Princeton University
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continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills; have (or expect to have) a PhD in Molecular
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of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. The ideal applicant will be highly motivated; good communication skills
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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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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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The Department of Psychology at Princeton University invites applications for a Postdoctoral Research Associate or more senior research position. Applicants should have a PhD degree (or expect
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in accordance with university guidelines, a taxable moving allowance, and a research allowance. PhD is required. Applicants must apply online and submit a CV, a 3-5 page (double-spaced) statement
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of supplies, reagents and samples. Minimum Required Knowledge, Skills, Competencies, and Abilities *PhD required *Prior experience working in a research environment *Experience in working in a microbiology lab
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communication, teamwork, and mentorship. Candidates should be able to lead independent research projects while collaborating with and supporting junior lab members. A good publication record demonstrating
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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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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict