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. Building on this platform, we combine cell biology, biochemistry, CRISPR-based approaches, organelle isolation, metabolomics and proteomics, mouse genetics, and disease models to discover principles of ER
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
the nervous system. The successful candidate will conduct independent and collaborative research using genetic, molecular, imaging, and quantitative approaches to study glia-neuron interactions and the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or
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within cells and how these processes are regulated through genetics. Our collaborative and innovative research community spans a broad range of disciplines. The Duhamel Lab studies the role
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origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits
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., Python). * Record of managing and analyzing large-scale genomics or population genetics datasets. * Demonstrated ability and willingness to work both independently and collaboratively. * Ability and
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, gender expression, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University
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no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. Preferred Qualifications - Prior experiences in virology such as reverse genetic systems
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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) - Perform single-cell and spatial multi-omics analyses at scale - Integrate genetics with longitudinal transcriptome, clinical, biosensor, trajectories - Contribute to discovery of disease mechanisms and