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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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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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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 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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, 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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, generating data, data collection, data analysis, manuscript writing, and other related oral and written reports. · 20% Contribute to collaborative projects led by other researchers. Qualifications Required
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Transboundary Animal Diseases in natural host species. To conduct research and provide technical assistance to the PI, students, and trainees in the lab on pathogenesis, laboratory data analysis, and
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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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to food animal disease epidemiology.(50%) 2) Collect and organize data for research activities.(10% 3) Collaborate with the PI in the generation and testing of research hypotheses and data analysis, writing