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[½»Á÷] ÃÀ¹ú²©ºóÕÐƸ ·ðÃÉÌØ´óѧbioinformatics²©ºó

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The University of Vermont, founded in 1791, is a premier research university internationally acclaimed for excellence in medicine, biology, and health science. It is one of original "Public Ivies", and the fifth college established in New England.

The goal of research in our genetics and genomics laboratory is to identify genes that predispose an individual to complex human diseases with the ultimate goal of informing diagnosis, disease risk prediction, and treatment.  We are looking for one or two new postdoc associates or fellows who has strong interest in genetic, genomic, and bioinformatics analyses of complex diseases, using pipelines including both standard and in-house whole-genome sequencing, and RNA-Seq data analyses. Our in-house analyses include genome-wide genotyping of germline endogenous retrovirus variations and somatic viral integrations in the human genome as well as their expression levels using pipelines from our lab, which can be seen in our recent publications (Genome Research. 2019. PMID: 30872350; Bioinformatics. 2019. PMID: 30895294; Genomics. 2019. PMID: 30710609; Briefings in Bioinformatics. 2019. PMID: 30102374). Large sequencing data (genome, transcriptome, methylome) from multiple unique disease cohorts are immediately available (such as myalgic encephalomyelitis/chronic fatigue syndrome; and addiction/psychiatric disorders). 3rd-gen sequencing data from patients will also be available soon. Candidates will receive various research and career development training. Candidates will have the opportunities to work with other top leaders in genomics, bioinformatics, and medicine, and participate in nationwide collaborations.

Experience with deep sequencing data, and/or genome-wide association analyses is desirable. For those who have interest or questions in this position, please send your CV to email: dawei [dot] li [at] uvm [dot] edu. The positions will remain open until filled.
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2Â¥2019-11-12 10:54:29
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3Â¥2019-11-12 22:39:43
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4Â¥2019-11-12 22:39:56
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5Â¥2019-11-13 23:05:03
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6Â¥2019-11-14 21:43:21
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7Â¥2019-11-15 22:04:30
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8Â¥2019-11-18 04:30:14
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