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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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Intelligence structural design framework that facilitates community engagement for resilient low-cost housing;2)Leading journal publication efforts;3)Pro-actively contributing to the academic design community
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catalysis, and/or plasma-assisted catalysis is of significant value to participate in other ongoing projects in the lab. Experience with the design, construction, and operation of high-vacuum instruments and
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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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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter
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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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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
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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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research on AI-driven form finding of structural surfaces under extreme loading. The research will be conducted under the direction of Professor Sigrid Adriaenssens in a team. Candidates with a strong