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of molecular cloning, Basic bioinformatical skills. Preferred Competencies Knowledge of basic laboratory and research methods. Ability to follow established research protocols and laboratory procedures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and will lead a multidisciplinary team focused on molecular biology, genomics, bioinformatics, and translational research related to malaria and other infectious diseases of global health importance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
will lead a multidisciplinary team focused on molecular biology, genomics, bioinformatics, and translational research related to malaria and other infectious diseases of global health importance
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, Biotechnology, or Molecular Biology. The candidate must be self-motivated, fluent in English, and capable of integrating molecular/cellular biotechnology and advanced bioinformatics. Proven experience in handling
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bioinformatics tools enabling the integration of multi-scale information and a better understanding of the underlying mechanisms. The expected results will contribute to a better understanding of the functional
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computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics
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- PDF) Download Additional Information Benefits - The opportunity to work in an interdisciplinary research team combining molecular biology, genomics, bioinformatics, and data analysis. - Participation in
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bioinformatics efforts on collaborative projects within Pediatric Epidemiology, serving as a liaison across laboratories and providing strategic and technical guidance to enhance the impact of shared research
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Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related quantitative
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, bioinformatics, predictive modeling, and digital-twin thinking. We are looking for two profiles: Neonatal Microbiome Research Fellow (postdoctoral only) Microbiome Ecology and Data Science Fellow (PhD