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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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Health Sciences. The position will be focused primarily on implementation science projects, data analysis (quantitative and qualitative), and project management tasks. The main research focus will be
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(including doctoral research) in an analytical chemistry laboratory. The ideal candidate will have strong skills in mass spectrometry (coupled with HPLC), data analysis, ability to handle multiple priorities
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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include flow cytometry, tissue histology, molecular and cellular assays, analysis of muscle degeneration and regeneration, and integration of single-cell/genomic data to define therapeutic mechanisms. Min
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and analyzing multidimensional data sets Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close
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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site
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, longitudinal follow-up, biospecimen and clinical data collection, EHR-based cohort development, physiologic data integration, machine learning analysis, and manuscript and grant development. Minimum Requirements
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validation of the models, quantitative data analysis, and preparation of results for progress reports, presentations, and publications Choose Duke. Duke Surgery is #1 in NIH Grant Funding. We
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include collaborating on the development of research questions, data collection and analysis, manuscript and grant preparation, and the supervision of students and research assistants. The position will