387 multiple-sequence-alignment positions at University of Minnesota in United States
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schedule social media and digital content. Manages multiple projects simultaneously with attention to detail Follow College of Veterinary Medicine project management systems to optimize customer service. 10
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sciences research and rotational output including the management of long-range cropping sequences for active research, rotational land activity, and livestock research feed stocks. This position works
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for multiple ICI research projects such as the MN Autism Developmental Disabilities Monitoring (ADDM) project, Learn the Signs, Act Early (LTSAE), MN Leadership Education in Neurodevelopmental and Related
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of sequence data from Illumina, Pacific Biosciences, and Oxford Nanopore instruments, • Investigating data quality issues • Analysis of single-cell and spatial datasets • Meet with customers to assist with
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labs, or related educational settings. Rochester campuses to support lab operations and coordination. Strong organizational skills and the ability to manage complex schedules, equipment, and multiple
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, figures, and routine visual content Brand Stewardship & Asset Management (10%) Help steward and evolve IonE’s visual identity in alignment with UMN standards; participate in brand refreshes, maintain
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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use
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of Marketing & Business Development, this results-oriented leader will develop and execute campaigns that integrate across channels—social, email, web, and events—while aligning with core revenue goals. With a
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symposia, panels, and serve on advisory committees that are aligned with the NRRI mission. The position will accommodate a 40% FTE assignment. The appointment status will be reviewed annually and may be
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic