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Field
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project reports, grant proposals, and abstracts. Collaborates with the bioinformatics and functional genomics team in the lab. Establishes new research protocols and procedures. Maintains laboratory
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
experimentation on multi omics or dry-lab bioinformatic and computational analysis, present their work at international conferences, prepare research manuscripts, and participate in grant applications when
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provides an outstanding, collaborative research environment with strong programs in plant sciences, genomics, and bioinformatics. Equal Employment Opportunity Statement All qualified applicants will receive
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, genetics, or a related discipline. Preferred Qualifications: Experience in molecular and cell biology, omics analysis, and bioinformatics. Record of publication in international journals. Department/Program
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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Postdoctoral Research Associate with a background in bioinformatics and systems biology to join the group. Appropriate training will be provided. Experience with immunology is encouraged but not required. Job
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Qualifications: Experience with molecular biology techniques and bioinformatics. Use of aquatic animals and experience with aquarium systems. Demonstrated record of publishing peer-reviewed manuscripts. Position
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: • Animal handling experience. • Intellectual curiosity and a growth mindset. • Biostatistics and bioinformatics expertise for scRNA-seq analysis. • Experience with molecular, cellular, biochemical, and
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differentiation, genetic engineering with CRISPR, disease modeling, transplantation into animal models of diabetes, biomedical engineering, bioinformatics, and single-cell sequencing technologies. Job Description
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precision medicine. We welcome candidates with expertise in iPSC biology, functional genomics, developmental biology, cardiovascular disease, and/or bioinformatics to explore the intersection