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Field
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of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability to work independently and collaboratively
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science, biology, and statistics to address complex biological questions. Their work spans diverse areas including genomics, bioinformatics, systems biology, and computational neuroscience, driving innovation
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processing and microbial DNA extraction. 16S rRNA library preparation and coordination of sequencing. Microbiome data analysis (with bioinformatics core support). Statistical correlation of microbial data with
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goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and wet-lab techniques to investigate the role
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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trial design and regulatory processes. Prior experience in mentoring and supervising research staff. Knowledge of bioinformatics tools and data integration. To apply, please visit this job listing on
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Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics, with strong scientific computing and/or mathematics background. Three year's experience working in
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, bioinformatics, and crop biology are used to create plant simulation models for research, teaching, and management. Phytobiome and rhizosphere biology of perennial fruit crops. Functional genomics and molecular
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cloning, genome editing, etc.) Data analysis – basic skills in bioinformatics or genomic data analysis are required Contributing to laboratory organization and maintenance Presentations of data in lab
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). Qualifications: Bachelor's degree in bioinformatics or related field plus six (6) years of research experience or Master's degree in bioinformatics or related field plus four (4) years of research experience