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the operation of a wide range of surface science methods, with emphasis on HRXPS, LEIS, AES, LEED, TPD, HREELS, Raman scattering, and SEM. Qualified candidates should possess experience for the design
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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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of individual assets that underpin most proposed energy transitions. These models will be used to design and test policy and investment interventions to alleviate deployment bottlenecks.The successful candidate
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: Responsibilities *Explore, collect, and preprocess various sources to develop domain LLM training and test datasets *Design and implement fine tuning and RAG workflows for LLMs on a variety of datasets *Maintain
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motivated and organized researcher with the following qualifications:Responsibilities*Explore, collect, and preprocess various sources to develop domain LLM training and test datasets*Design and implement
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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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nanophotonics. Candidates should have significant experience in nanophotonic devices (including nano-plasmonics) design, fabrication, and characterizations. All candidates should have a Ph.D. degree. Appointments
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods
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The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a postdoctoral or more senior researcher interested in computational materials design and