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Field
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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potential. Apply computational tools and pipelines to analyze large-scale biological datasets. Scientific Communication (20%) Contribute to the preparation of research reports, peer-reviewed manuscripts
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single-cell transcriptomic and proteomic data to identify novel immunoregulatory targets. Collaborates with a multidisciplinary team including computational biologists, clinicians, and immunologists
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, fluorescence microscopy, flow cytometry, animal experimentation, cell biology and genomics. Research Data Keeps detailed records of data. Uses computers and laboratory equipment to perform data analysis
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 370206 Location Twin Cities Job Family Academic Full/Part Time Full
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Biology, or a related field to join a multidisciplinary research program. The successful candidate will investigate the mechanisms of visual and hearing loss associated with Usher Syndrome Type 2A using
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Engineering, Computational Biology, Bioinformatics, Biostatistics, Systems Biology, and Statistical Genetics. Proficiency in at least one programming language such as Python, Julia, R, C, C++, Fortran, Matlab
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collaborative research program at the intersection of lipid biology, cell death, and evolutionary genomics. The project, primarily led by the Atilla Laboratory (Department of Chemistry ), investigates how lipid
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. Preferred Knowledge, Skills, and Experience Prior experience with high-throughput or computational protein design/screening techniques. Background in structural biology (CryoEM/crystallography) Knowledge