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Field
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Bioinformatician I will perform general bioinformatics analysis and software support for projects involving in omics. The RB I member will manage omic data including loading and querying data from database systems
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
/Description: The Postdoctoral Research Associate will independently conduct biomedical research on substance use disorders using molecular/omics, behavioral, and computational/bioinformatic techniques, analyze
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collaborative team performs high-impact studies that allow them to develop new strategies to ameliorate dysbiosis and neuroinflammation and reduce chronic disease burden. Key Responsibilities: Bioinformatics
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years related education/experience) Required Experience 3 years If any experience is required, please specify what kind of experience: Experience in bioinformatics and/or programming to include
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About the Opportunity Individuals are sought to teach graduate courses in science and technology relevant to the bioinformatics field. Courses include primarily biological science courses with minor
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We are seeking a 100% time on-campus postdoc to conduct research in the area of legume crop genomics and bioinformatics. Post-Doctoral Associates conduct research and/or service that provides further
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track. Expertise is required in the specific area of human genetics/genomics, computer science, bioinformatics, neuroscience, neurology, or related fields. Applicants must have a Ph.D. or Ph.D equivalent
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bioinformatics analysis. Data is collected, recorded and organized using standard methodology. The ideal candidate will perform a wide variety of moderately complex laboratory tasks and animal experiments
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of successful research projects and publications. Preferably in the areas of genomics and bioinformatics. Excellent analytical and problem-solving skills. Effective communication and collaboration abilities. City
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through innovative statistical approaches. Key Roles & Responsibilities Develop, optimize, and maintain scalable bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis