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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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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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- PhD research experience prior to anticipated start date. Academic excellence, potential to bring new ideas and approaches to Princeton University and to interact successfully with a broad range of
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and a strong commitment to excellence in education are encouraged to apply. PhD is expected by the start date. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/38042 and
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to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil or Bio Engineering or related area is required. We
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senior ranks may have multi-year appointments. Candidates must have a PhD in Computer Science or a related field. For full consideration, we recommend that candidates apply (including the letters
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on data science and engineering. The scientist will collaborate with Princeton and GFDL researchers to enhance, analyze and deliver high-resolution earth system model data, with an emphasis on Seamless
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psychology. Initial appointment is for one year with the possibility of renewal based on satisfactory performance and continued funding. Essential Qualifications: PhD in a relevant field. Interested
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Princeton University's Initiative for Data-Driven Social Science (DDSS) invites applications for Postdoctoral Research Associates. DDSS supports technical and methodological innovation in
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on projects related to machine-learning for mass spectrometry-based metabolomics data. Positions are available starting July 2024, and will remain open until excellent fits are found. Successful candidates will