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Field
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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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PhD in the above subject area and a proven track record of productivity. Experiences in microscopy, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
postdoctoral fellow with expertise in cell stress and metabolism to integrate into our vibrant team. Additional expertise in cell biology, immunology, or bioinformatics is preferred. The postdoctoral fellow will
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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background in evolutionary biology and bioinformatics and interested in leading cross-disciplinary research are encouraged to apply. Successful candidates must hold a Ph.D. Degree In Biology. Significant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
doctoral degree (PhD) in Epidemiology, Human Genetics, Biostatistics, Bioinformatics or related field or a MD, DDS, or DVM degree combined with training in human genetics or epidemiology at the PhD
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(e.g., SLURM). It is desirable that you hold a first degree in Genomic Medicine, Statistical Genetics, Bioinformatics, or a related quantitative discipline and have experience of independently managing a
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of manuscripts for publication Experience in transient transactivation assays, triglyceride extraction/quantification Experience in handling 'omics datasets and bioinformatics analysis Experience with submitting
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, scientific and numerical computation Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or
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, genetic modification, and functional assays. Develops bioinformatics skills for analyzing genomic and transcriptomic datasets. Collaborative Opportunities: Works closely with human geneticists