104 phd-in-architecture-interior-design-built-environment Postdoctoral positions at Princeton University
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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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meetings. Additional Information: Applicants must hold a PhD in demography, sociology, epidemiology, or a related field. The work location for this position is in-person on campus at Princeton University
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data dissemination capabilities for making high-resolution earth system model output available to a diverse audience. Candidates must have a PhD in computer science, environmental and physical sciences
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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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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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, multidisciplinary environment, and have access to Princeton's first-class resources. In addition to leading your own research agenda, you will be required to teach or support one of the existing courses in CSML each
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of reinforcement learning in the brain and leverage these models to assist the experimental groups with experimental design and multimodal data analysis of neurophysiological, causal, and behavioral data
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, the successful candidate(s) will carry a secondary rank of Lecturer. In addition, they will be expected to participate in the intellectual life of the Program in Linguistics. A PhD in Linguistics or relevant
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will involve reactor design and setup with gas flow capability and process optimization. Qualified candidates should have a Ph.D. in chemistry, physics, materials science and engineering, chemical
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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using