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: create a robust framework to simultaneously infer fundamental cosmological properties and advance our understanding of galaxy formation physics from state-of-the-art cosmological data sets. Research Focus
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experience managing large-scale surveys data. The two projects the post-doctoral associate will support are focused on consumer preferences for battery electric vehicle information and consumer preference
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in all aspects of the studies from simulations/phantoms study design, data acquisition, in vivo animal experiments, data analysis, and manuscript writing. Key Responsibilities: Organizing and
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of rigorous methodological approaches, including causal inference, quasi-experimental designs, and the use of large-scale claims data and electronic health records. The Fellow is expected to be highly
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observational with these facilities. Candidates should have a Ph.D. in astronomy, astrophysics, or a related field by the start date, and experience in observational data analysis. Expertise in variable stars
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two letters of recommendation. Inquiries may be sent to Professor Chris Overstreet at c.overstreet@jhu.edu. Review of applications will continue until this position is filled. For information
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may be sent to Professor Danielle H. Speller at dspelle1@jh.edu. Review of applications will begin on June 1, 2025. Expected start date will be August 2025 (negotiable). For information on benefits
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μeV, with a range of sensitivity to QCD axions extending across nearly a decade of parameter space. The successful candidate is expected to participate in the operations and data analysis of the HAYSTAC