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methods, including CITE-seq, ATAC-seq and spatial transcriptomics, (b) bioinformatic analysis of multi-omics datasets, (c) translational approach with human samples from blood and tissues, (d) perform
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immunoprecipitation). Working knowledge of biostatistical and bioinformatic analyses. Ability to work independently. Excellent oral and written communication skills. SCHOOL/COLLEGE/DIVISION: H09 - Research PRIMARY
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, preparation viral constructs, generation of stably transduced cells, quantitative RT-PCR, western blot, chromatin immunoprecipitation) Working knowledge of bioinformatic approaches to evaluate omics datasets
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming
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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