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community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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. Coordinating studies involving human participants; Processing and analyzing biological samples; Data management including handling large data sets and performing statistical analysis; Communicating results
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life of the CRH, teach one course per year, and serve as the managing editor of American Religion in 100 Objects. The term of this position is two years, beginning on July 1, 2026 and ending on June 30
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team including the PI, graduate students, and external collaborators. Responsibilities include sample collection (core facility visit), laboratory analyses, data interpretation, thermal history modeling
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the development and advancement of NSSE and associated projects by co-leading a number of initiatives focused on supporting higher education institutions use NSSE data most effectively. This will
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: The analyst will contribute directly to the development and advancement of NSSE and associated projects. This will include working collaboratively with NSSE’s Data and Reporting team to update NSSE by shaping
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at Indiana University is seeking applicants for a post-doctoral position. Our DOE-funded efforts include leading roles NOvA operations and data analysis and DUNE construction and data analysis
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for information regarding the position requirements: Required Qualifications: • Ph.D. in Physics (Condensed Matter, AMO, Quantum Information, or a related field). • Expertise in quantum many-body theory with a
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secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to study design, mixed methods