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include strong written and verbal communication skills, demonstrated experience working within collaborative teams, and experience analyzing ecological time series (e.g. flux tower data) and remote sensing
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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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Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). We especially value candidates with strong technical skills for data-intensive research and statistical modeling. IU Astronomy has
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