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well as opportunities for collaboration with Princeton faculty and graduate students. The selected candidates may participate in the teaching program if mutually agreed, with sufficient course enrollments, and with
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well as opportunities for collaboration with Princeton faculty and graduate students. Postdoctoral Research Associates may participate in the teaching program if mutually agreed, with sufficient course enrollments, and
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faculty and graduate students. Postdoctoral Research Associates may participate in the teaching program if mutually agreed, with sufficient course enrollments, and with the approval of the Office of
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well as opportunities for collaboration with Princeton faculty and graduate students. Postdoctoral Research Associates may participate in the teaching program if mutually agreed, with sufficient course enrollments, and
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positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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: 278255392 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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biology, cancer biology, chemical biology, biochemistry, cancer genomics, genetics, mass spectrometry, physical chemistry, computational and systems analysis. The term of appointment is based on rank
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interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding Postdoctoral Research Associates with a strong