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Field
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techniques, and bioinformatics analysis is welcomed. The candidate is expected to work independently, as part of a team, and collaboratively with other researchers. An individual who demonstrates self
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inflammation, multiparameter flow cytometry, and bioinformatics/computational biology is desired. Please send curriculum vitae, three names of reference and a one-page summary of research background and
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communication skills, and hold a valid VISA to work in the United States. A strong background in bioinformatics and statistics, as well as experience in molecular laboratory assays, is highly desirable. The CVD is a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience Requirements PhD in molecular biology, cancer biology, or bioinformatics/computational biology or related field Required Qualifications, Competencies, and Experience PhD in molecular biology, cancer
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of the project is to develop and apply bioinformatic tools for the analysis of high-dimensional immunological data sets. Our laboratory (Zielinski lab) focusses on human T cell regulation in health and disease. We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
The position requires a Ph.D. in human genetics, bioinformatics, computational biology, or related field, and a publication record demonstrating research productivity. Required Qualifications, Competencies, and
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, epigenetics, biochemistry, cell biology, developmental biology, and bioinformatics to study the molecular mechanism of disease, identify / validate disease causing genetic variants, and test potential
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have a strong research track record and must hold a Ph.D. and/or M.D. degree. A background in nucleic acid biochemistry, bioinformatics, and/or data science is advantageous, but we welcome talented
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills
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genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics. The candidate should also be able to work cooperatively with peers