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Experience: Embryo production and culture Genomic sequencing experience (RNAseq, ATACseq, ChIP-Seq) Understanding of genomic sequencing analysis Demonstrated publication record. Required knowledge, skills and
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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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., microsatellites, SNP genotyping, ddRADseq) to assess genetic diversity and population structure of target invasive species - Design and perform microbiome sequencing and behavioral experiments to investigate
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Staff Job Description Qualifications Required Education: Ph.D. in molecular biology field or relevant fields Preferred Experience: Extensive knowledge and application of new generation sequencing
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College. Generate genomics data for projects involving genome and transcriptome sequencing related to crop improvement projects. Publish results in peer-reviewed journals. Assist in developing project
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or multiple attachments can be included. For additional information contact Dr. Subas Malla, Associate Professor by email at subas.malla@ag.tamu.edu or by phone at 830-988-6139. All inquiries are confidential
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approaches for ecological and paleontological data. Other requirements or other factors: Position requires collaboration and coordination across multiple institutions. Postdoc must be resident at Georgia Tech
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Bacterial genetics for multiple species of organism Required Special Knowledge, Skills, and Abilities: Good communication and computer skills. Open approach to defining a problem and designing a strategy for
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the country’s largest public universities, with extensive resources to support research and multiple seminar series that attract scholars from across the world. The ECCB Department at Texas A&M includes a vibrant
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Description Job Responsibilities: -Compile, organize, and synthesize large, multi-year datasets from soil health and crop productivity studies across multiple locations. - Apply advanced statistical and