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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by the NIH and intramural funding sources. The successful candidate will engage in bioinformatics research
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repertoires of different viral groups groups, and the development of bioinformatic methods for genomic and evolutionary analyses. The research will address critical questions regarding the evolution and
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graduate students Qualifications Required Qualifications: PhD that included bioinformatic and statistical analysis of microbiome, metagenomic, and/or WGS data Experience with basic molecular techniques
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the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and necroptotic pathways have evolved across species
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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and
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for this position are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of the regulation and function of tumor suppressor
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Basic qualifications A PhD (or equivalent international degree), completed before the start date of the position, in a relevant field, such as bioinformatics, statistics, genomics, applied mathematics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
. There is also an opportunity to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required
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eligible for this position. Bioinformatics experience is preferred but not required . International scholars and members of underrepresented groups are encouraged to apply. PhD candidates who submitted
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in human cellular immunology, T cell and Treg biology, genomics, functional genomics, fluorescence-activated cell sorting, and spatial imaging. Bioinformatics: develop or increase proficiency in R