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Field
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-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS
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sequencing and bioinformatics We are housed in Loyola’s state-of-the-art Center for Translational Research and Education (CTRE) at the Health Sciences Campus—located just outside of downtown Chicago with easy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
background in microbial genomics, evolutionary biology, bioinformatics, or computational biology, with an interest in translational applications that connect bacterial evolution to clinical impact. Experience
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epigenomics, metabolomics, single-cell technique, bioinformatics, genetic animal models, molecular and cellular biology, metabolic tracing, sophisticated virus tools, neurobehavior, opto/chemogenetics, in vivo
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: A driver's license is not required for this position. More About This Job Preferred Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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. 20% - Investigate the spatial patterns. 20% - Present at scientific meetings and publish in the primary scientific literature. Requirements Ph.D. in fisheries, ecology, marine biology, bioinformatics
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, including CUT&RUN, CUT&TAG, ATAC-seq, stable-isotope resolved metabolomics, proteomics and bioinformatics. Among other qualifications, successful candidates should have prior research experience in cancer
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immunology or bioinformatics is a plus. BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police Criminal Background Check, PA
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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and