149 post-doc-image-engineering-computer-vision Postdoctoral research jobs at Princeton University
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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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: 275950536 Position: Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics Description: The Department of Electrical and Computer Engineering has opening for postdoctoral
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 09-Jul-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-Jul-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-May-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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, materials science and 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
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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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, 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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engineering pipeline, developing usable and innovative solutions to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions
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background in chemical and biological engineering, bio-engineering, molecular biology, microbiology, biochemistry, biophysics, computational modeling or related fields. Experience in metabolic engineering