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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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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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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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, 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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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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well as university partners on coastal methods and validation strategies. Mentor summer students on data analysis and visualization workflows. Publish in peer-reviewed journals, present at scientific conferences, and
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. ⦁ Skilled in R programming for statistical analysis and data visualization is plus ⦁ Ability to work independently and collaboratively in a multidisciplinary environment. ⦁ Excellent written and verbal
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
interpolation (such as kriging), and other data visualization tools. The ARC Trace Gas Group is enriched by the many experiences and perspectives that each individual brings to our group. Development of secondary
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relevant to the post Excellent skills in experimental design, data analysis, statistical evaluation, and visualisation To understand (or have a desire to understand) the path to impact for the research area
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experience managing large-scale surveys data. The two projects the post-doctoral associate will support are focused on consumer preferences for battery electric vehicle information and consumer preference