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flexibility in schedule and/or work location. Please note that 100% remote work requires approval prior to offer. Job Responsibilities Data management and analysis (40%) Establish data management infrastructure
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culture and optimization and large-scale protein expression and purification as well as biochemical analysis. Projects will enjoy fantastic access to a state-of-the-art in-house Cryo-EM facility featuring a
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modern breeding methodologies including genome-wide prediction to increase efficiency Genetic research including but not limited to: genome-wide association analysis and linkage mapping analysis of desired
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, molecular cloning, sequencing analysis, CRISPR, base editing, RNA extraction, RNA Seq, RT-PCR, gene cloning, cell line characterization, western blotting, E. coli transformations, plasmid preparations, and
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Qualifications: - Expertise in performing histological analysis of neural tissue. About the Department To learn more about the Department of Neurosurgery, please visit https://med.umn.edu/neurosurgery Pay and
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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candidate to fill one Post-Doctoral Associate position. Work in the DDLL includes a number of projects, from a large-scale efficacy trial of educational technology focusing on literacy to secondary analysis
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on a weekly basis Travel, typically once a year, to present results at conferences Generate first-author publications in peer-reviewed journals reporting novel model elements Document and share open
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collection, analysis, interpretation, and presentation, including via oral and poster presentations, grant and fellowship submission, and manuscript preparation. You will be expected to be an excellent team
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collection and analysis. He or she will be responsible for study administration, preparation and presentation of manuscripts, collaboration with other investigators’ studies, and laboratory management