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Field
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positions in the professional ranks. Preferred Qualifications: Experience with protein expression and purification, and\or molecular microbiology (RNA-Seq, gene-knockout and mutation) Perks of Working at UNR
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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transplantation and viral immunity. Apply and expand expertise in advanced methodologies such as CyTOF, sequencing approaches (CITE-Seq, NGS, RNA-seq), and bioinformatics, with opportunities to learn and integrate
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Work Experience M.D. or PhD Required Qualifications Preferred Qualifications Experience with bench work Experience with single-cell and multi-omics integration Familiarity with RNA-seq, EdgeR, Seurat
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analysis, including approaches such as GWAS, RNA-seq, or pan-genome analysis. Experience with fungal systems or biocontrol research is an advantage, but not a requirement. Excellent communication skills in
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such as analyzing single-cell RNA-seq data. Highly motivated for research independence and career advancement. Demonstrated excellent verbal and written communication skills, and interpersonal skills
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, immunoprecipitations, cloning), FACs/sorting, colony assays, lentiviral and retroviral transductions, transplantation experiments, xenograft models, peptide stimulation assays, single cell sequencing, and RNA-seq
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microbiomes, or mycorrhiza helper bacteria. Prior experience with metabolomics sample preparation, LC-MS/MS, or exometabolomics data analysis. Experience analyzing RNA-seq or other transcriptomic datasets using
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endophytic communities • Stress biology; soil and rhizosphere microbiology • Functional microbiology • Next-generation sequencing, metagenomics, RNA-seq and transcriptomics analysis • Multi-omics integration
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, and multiplex assays for protein and metabolite profiling. c. Having in-depth knowledge on genomic and transcriptomic techniques such as qPCR, RNA-Seq, and microarray for studying gene expression