98 civil-engineering-soil-structure-interaction Postdoctoral positions at Princeton University
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collaborate with the ARG team on developing grant proposals. Qualifications Required qualifications: Doctoral degree in a related field, such as Computer Science, Robotics, Civil Engineering, Architecture, etc
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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. These highly competitive positions will support research in quantum science and engineering across several departments throughout the university, including physics, electrical engineering, computer
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: 277839339 Position: Postdoctoral Research Associate Description: The Ferris Research Group in the Mechanical and Aerospace Engineering Department at Princeton University invites applications for a
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. Sponsored by Princeton's Department of Politics, the Program seeks to enrich the intellectual life of Princeton students and faculty by exploring American constitutional principles and structures through
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with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop the ability to controllably engineer diamond surfaces
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research levels in the areas of biochemistry, biophysics, cell biology, structural biology, microbiology, developmental biology, virology, genetics and cancer biology. The term of appointment is based
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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis
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. Appointments will be at the Postdoctoral Research Associate or more senior researcher rank. These highly competitive positions will support research in quantum science and engineering across several departments
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energy systems model. By focusing on a few country test cases (e.g., US and South Korea), this multi-scale modeling framework will be used to analyze the interacting drivers for energy decisions across