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, reagents, media, and solutions for use in the Laboratory. • Perform bioinformatic analysis using programming skills, data entry, management, and summarization, statistically valid data analysis and
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oral presentations Your qualifications and skills: You hold a PhD in plant science, molecular biology, genetics, or related field. You have experience with modern genetic, genomic, and bioinformatic
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. Candidates with a strong background in epidemiology, epigenetics, male reproductive biology, next-generation sequencing, and/or computational biology/bioinformatics are preferred. The successful candidate will
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NanoBio Systems Laboratory. The project will be highly interdisciplinary and fast-paced, having multiple collaborating labs in microbial pathogenesis, environmental microbiology, and bioinformatics
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the objectives of the Bioinformatics Core in the context of the INBRE project. These tasks include analysis of genomic data, development of analysis pipeline, maintenance of genomic data, design and deliver short
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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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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 | 13 days 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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, epigenetics, biochemistry, cell biology, developmental biology, and bioinformatics to study the molecular mechanism of disease, identify / validate disease causing genetic variants, and test potential