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to investigate the underlying DNA damage response mechanisms in cancers. One area of active research is to investigate mechanisms of sensing and resolving R-loops in cancers to provide molecular insight
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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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interferometric detectors at Hanford, Washington and Livingston, Louisiana, which have made the first confirmed detection of gravitational waves. A vigorous LIGO Laboratory R&D program supports the astrophysical
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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge of remote sensing application to quantify carbon sequestration is desirable
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foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning, deep learning, HPC, Docker/Singularity
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for single-cell. Biological handling experience in musculoskeletal disease (such as osteoarthritis) or cancer. Additional experience in materials characterization is of interest. Familiarity with R or similar
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. Preferred Qualifications: Preferred experience: Experience in generating multi-omics data and data analysis with R or other programming languages is desired but not required. Experience with maintaining mouse
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for metals production and processing. Prepare formal reports, makes presentations, and publish to establish leadership position in R&D for metallization. Position Requirements Recent or soon-to-be-completed
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of technologies for nuclear separations at the nexus of nuclear energy and