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: 276279425 Position: Assistant Professor, High Medieval European History (tenure track) Description: The Department of History invites applications from scholars who specialize in High Medieval European
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The Department of History invites applications from scholars who specialize in High Medieval European History. Historians who work on any topical area in the field are encouraged to apply, as are scholars who study the connections between medieval Europe and other regions, such as the...
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: 271598569 Position: Tenure-Track Assistant Professor in Experimental Quantum Science Description: The Princeton Quantum Initiative and Department of Physics at Princeton University seek applications for a
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: 271356390 Position: Tenure-Track / Tenured Faculty Position in Theoretical Quantum Science and Engineering *REVISED* Description: The Princeton Quantum Initiative (PQI), the School of Engineering and Applied
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The Princeton Quantum Initiative and Department of Physics at Princeton University seek applications for a tenure-track assistant professor faculty position in experimental quantum science
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on i) phylogenomic inference of hundreds of whole genomic data already available; and ii) investigating rates of evolution across the genome and their correlation with phenotypic traits across various
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of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus on i) phylogenomic inference of hundreds
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The Department of Art & Archaeology invites applications for the position of Assistant Professor (tenure-track) in South Asian art history before 1850. The position was endowed by Shanthi Kandiah
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techniques, and differentiable programming). Inference tools for interpretive analysis of experimental and simulation data. Foundational research in Machine Learning for partial differential equations (PDEs
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). Inference tools for interpretive analysis of experimental and simulation data. Foundational research in Machine Learning for partial differential equations (PDEs). Innovative algorithmic and methodological