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cancer and intraoperative studies. Job Duties Develops, implements and manages computational workflows and data analysis pipelines for processing and interpreting mass spectrometry and mass spectrometry
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for innovative microfluidic platform for exosome enrichment and MS analysis The Metabolomics and Analytics Center (MAC) is seeking a talented and motivated Postdoctoral Researcher to advance the integration
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
: 304827 Vacancy ID: PDS004622 Position Summary/Description: The position will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors
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procedures, sample, and tissue collection, as well as general animal care. Data collection and analysis of tissues and samples for hormonal concentrations using radioimmunoassay (RIA) and/or ELISA, among other
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Investigator in compilation and evaluation of data for preparation of nonclinical study reports, manuscripts for publication in scientific journals, grant applications, and posters/talks for local and
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collection, and help assess economic profitability and cost-effectiveness through quantitative data analysis. This Postdoctoral Associate will be co-supervised by Dr. Wendong Zhang at Dyson School and Dr
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relevant field and 5 years of post-doctoral experience in sensory and language processing, statistical analyses, MATLAB, and iEEG data acquisition and analysis, and fMRI data acquisition and analysis
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, actionable research to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous
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/undergraduate students. The role requires expertise in experimental design, data analysis, and effective communication to produce high-quality results that align with the lab’s goals. Key Duties
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multivariate data analysis. Preferred Qualifications: PhD in Chemistry, Materials Science or Chemical Engineering. Candidates are expected to have a strong background in quantitative structure analysis based