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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the
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that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as its mission
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
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the use of workflow tools, development environments, and resources to contribute to and implement shared bioinformatic workflows. Experiences may extend into training on Machine Learning and AI models as
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
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that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as its mission
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as
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. This data was collected primarily in upland habitats, but a subset of the data focuses on changes in meadows over time. Learning Objectives: The selected fellow(s) in this project will have the opportunity
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also includes screening individual phytochemicals and extracts from additional plant materials to determine their anticancer and antioxidant activities. Learning Objectives: The participant will receive