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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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approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on
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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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to begin July 1, 2025. Essential Qualification: PhD or equivalent degree in a relevant discipline. To apply, visit https://puwebp.princeton.edu/AcadHire/position/38242 and submit a current CV, a research
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to design their imaging experiments (e.g. choosing microscopy modalities, sample preparation), maximize quality of imaging data, and consult on image visualization and analysis. The director will facilitate
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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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their country of dual-citizenship; each country has different regulations.) At least a bachelor’s degree (but not PhD) by the beginning date of the grant. Language proficiency, in non-English-speaking
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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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public-facing museum and will communicate effectively with both scholarly and broad audiences. A PhD in art history, anthropology, or a related field is required for this position. Applicants must have