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Field
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of the Postdoctoral Fellow position is to perform specialized research activities including bioinformatics analysis in a core facility to support faculty and staff in CII utilizing this service. Among the key duties
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laboratory, bioinformatics, and/or fisheries trophic ecology research methods. Experience in collecting data and working with large databases. Preferred Experience Experience in analyses of fish diets (larvae
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Supporting Dental, Oral, and Craniofacial Research Using Bioinformatic, Computational, and Data Science Approaches. See Notice NOT-DE-20-006 . April 1, 2020 - Notice of Special Interest: Developmentally
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bioinformatics. The impact of the members of IGS on the genomics field has been substantial, with more than 2000 publications during the past 26 years, which have been cited more than 300,000 times, making IGS one
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sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS on the genomics field has been substantial, with more than 2000 publications during the past 26 years, which have been
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to bacterial vaginosis. The successful candidate will primarily investigate the functional role of the vaginal microbiome in the recurrence of bacterial vaginosis using bioinformatic and statistical analyses
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, neurodevelopmental disorders, substance use disorders, brain injury, and neurodegeneration. The ideal candidate will have a PhD in molecular biology, neuroscience, bioinformatics, or a related discipline. The Ament
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
in writing to bioinformatics and non-bioinformatics audiences of all levels. Comfortable working and handling several concurrent projects. Knowledge of Python or R is preferred. Ability to analyze
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sequencing data. The initial appointment period is funded for one year. Basic Qualifications Candidates should have a PhD in computer science, physics, bioinformatics or a related field, and an interest in
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Postdoctoral Fellow with Assistant Professor Tracy Ke. Assistant Professor Ke’s lab focuses on research in high-dimensional data analysis, machine learning, social network analysis, text mining, bioinformatics