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an independent research program. Under the guidance of senior lab personnel, the successful candidate will master essential wet lab methodologies and utilize advanced bioinformatics pipelines to advance both
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implementations and assessment findings. • At least one scholarly manuscript, conference presentation, or comparable teaching product. • Recommendations for future research, educational programming, and
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Sciences | Astronomy Post Doctoral Scholar will work with Professor Scott Gaudi in the Department of Astronomy on the development and exploitation of science programs enabled by NASA's Nancy Grace Roman
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is