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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 24 hours ago
) Work Unit Bioinformatics and Genomics Work Location NC Research Campus Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 hours per week
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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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. Assists investigators in planning and design of experiment. Provides customized bioinformatics and computational support from the project design to publication phases including consulting on experimental
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, and take an active role in current and future research. Dr. Issuree's team has expertise in the use of genome, epigenomic and transcriptomic assays and integrated bioinformatic analyses to uncover
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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic
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initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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, considering genetic and environmental risk factors and their interplay. About You A successful applicant should have, or expect to soon receive, a PhD in psychology, psychiatry, bioinformatics, human genetics
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory