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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. Responsible for conducting research in 3D image analysis and shape modeling, with a focus
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to evaluate disease progression and therapeutic outcomes. • Perform advanced laboratory techniques, including gene expression analysis, protein assays, and imaging. • Prepare manuscripts and present findings
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datasets, including photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%) • Conduct data collection for validation of developed approaches (may involve occasional travel) (2
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)epidemiology, Biostatistics, or a related field. · Strong capabilities in quantitative healthcare data analysis (i.e., medical claims data, electronic medical records data, or registry data) · Expertise in or a
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data analysis methods. The PDR will work in close collaboration with LCLS-II staff and eXn graduate students. Experimental results will be interpreted in an interdisciplinary environment including
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photogrammetry, LiDAR, and depth cameras, to build scalable analysis pipelines (10%) • Contribute to field data collection for validation of developed approaches (may involve occasional travel) (2%) • Contribute
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experiment, sample collection and analysis, data analysis, prepare manuscripts, present at conferences, and participate in grant writing in the areas of LCMS analysis of disease biomarkers, proteinomics and
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at a computer for various purposes (ordering, data analysis, microscopy, lab upkeep). Work Environment: Available no less than 40 hours a week Monday-Friday. Flexible hours are needed for completion
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, sociology, education, etc. Performs advanced testing procedures, data collection, and analysis. Prepares reports. May work with human subjects and contribute to grant proposal development. Ensures experiments
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. Other preferred qualifications include. Experience in proposal writing, Strong programming or data analysis skills, and Excellent academic writing and presentation skills. Experience will be considered in