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Field
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contributes to ARAC’s scientific portfolio through independent data analysis, development of computational workflows, integration of genomic and epidemiologic datasets, and coordination of research activities
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scientific publication and writing articles in international journals; 8) Experience in data visualization tools and advanced statistical analysis (e.g., pandas, scikit-learn, matplotlib, seaborn, SHAP
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, including induced pluripotent stem cell (iPSC)-derived cells. Knowledge of advanced bioinformatics tools for DNA/RNA sequencing data analysis, functional annotation, and data visualization (preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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a postdoctoral fellow at the University. The individual cannot have held previous positions in the professional ranks. Preferred Qualifications Experience with NGS data analysis and Linux based HPC
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. For more information about the total announced post-doctoral
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analytical and modeling skills, including data science, database management, data visualization, etc. Strong publication record Experience working on subjects related to one or more of three main research
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, immunostaining and various aspects of zebrafish genetics. In addition, the scholarship holder will manage with advanced microscopy to visualize muscle cell architecture and dynamics and engage in data analysis
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/Administrative Internal Number: 500774 Job Summary: The Postdoctoral Research Associate will work in the Kinesiology department and will be responsible for leading data collection and analysis in conjunction with
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livable cities. The ideal candidate would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data