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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 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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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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and Python), along with an interest in applying these skills to problems in immunology/biology. A Ph.D. in a quantitative discipline is desired (Bioinformatics, Computer Science, Statistics, Physics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 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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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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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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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