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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
bioinformatics, and a good track of publication records in related areas to conduct basic and translational cancer research in the Dr. Jeremy Rich’s laboratory for brain tumor studies. The goals of the Rich Lab
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manuscripts, and present research results at international conferences Ph.D. degree in genetic epidemiology, statistical genetics, bioinformatics, biostatistics, or a closely related quantitative field
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, electrophysiology, immunohistochemistry, fluorescence & confocal microscopy, bioinformatics. Experience with Flow cytometry or electrophysiology is a plus. What you need to know Salary: Compensation will be
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blot, PAGE, RT-qPCR, RNA immunoprecipitation, etc.) Prior experience working with RNA structure and NGS, as well as experience in bioinformatics and data analysis (i.e. R, Python, Perl) is a significant
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bioinformatics. Additional Qualifications Special Instructions To apply, please send the following to kgozzi@fas.harvard.edu: A cover letter describing past, current, and future research interests A curriculum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
qualified candidate will integrate information from a combination of sources, including protein engineering, next-generation sequencing, CRISPR screening, and bioinformatics. The Chung lab harnesses the anti
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demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning/computer science
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analysis, immune profiling; Bioinformatic analysis: Python, R, data-mining, et al. Physical Demands Salary Range $47,500 - $61,008 Additional Salary Information The salary range reflects our good faith and
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with (and establish new) local and international collaborations. Qualifications: PhD or MD-PhD in molecular biology, genetics, biomedicine, bioinformatics, or a related field. Track record of research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
cytometry, in vivo tumor studies, as well as a familiarity with performing single-cell applications including scRNAseq and scATACseq. Experience in the bioinformatic analysis of these single cell-based