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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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of selected (e.g., Cl and O) neutrals and/or ions in ultrahigh vacuum (UHV) surface science experiments to determine the surface chemical and physical makeup, will complement plasma ALE experiments by other
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Required: Completion of pre-doctoral internship (APA-Accredited preferred), experience with a broad range of clients (multiculturally and diagnostically) and completion of all doctoral program requirements
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biology, cancer biology, chemical biology, biochemistry, cancer genomics, genetics, mass spectrometry, physical chemistry, computational and systems analysis. The term of appointment is based on rank
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Plasma Physics Lab and in the Physics, Geosciences, and Mechanical and Aerospace Engineering Departments, and at the nearby Institute for Advanced Study. The expected start date is September 1, 2026
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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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commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
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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 Physics Department at Princeton University is seeking applicants for postdoctoral and more senior research positions. Applicants with experience in the following areas are encouraged to apply
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Library and to a wide range of activities throughout the University. This position is subject to the University's background check policy. Appointments are for one year. Applicants cannot be in the process