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background in ocular cell and molecular biology. The ideal candidate will have demonstrated expertise in cell and molecular biology techniques, as well as biochemical approaches. This NIH-funded project
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, including animal surgery, simulations, and theoretical investigations; analyze data; and disseminate research findings. Participate and observe clinical activities, including clinical visits, rounds, meetings
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mathematicians including: Dr. Kevin Flores (Mathematics, North Carolina State University) Dr. Micah Luftig (Molecular Genetics & Microbiology, Duke University) Dr. Cliburn Chan (Biostatistics & Bioinformatics
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experience working with transgenic mouse models, as well as familiarity with cell culture and standard molecular biology techniques such as immunostaining, Western blotting, and qPCR. Additional exposure
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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/PhD Degree Experience Background in cardiac biology, neurobiology, bioengineering, or related field Molecular biology Background in electrophysiology preferred but not required Skills Skills in mouse
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of immunology and molecular biology preferred. Candidates should have excellent scientific writing and strong oral communications skills Experience in leading research papers for publication and data
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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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. in microbiology, immunology, systems biology, molecular biology, computational biology, or a related field. • Experience in one or more of the following areas: microbiome research, animal models