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to train staff in experimental and computational NGS pipelines, coordinate data management with the Texas Advanced Computing Center, and contribute to a positive, inclusive, and collaborative lab culture
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state-of-the-art computational, theoretical, and experimental approaches to discover how brains evaluate behaviors, both self-generated and the behaviors of others. By discovering fundamental principles
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computational infrastructure. This role will require deep knowledge of the underlying models as well as practical implementation skills to have the maximum biological impact. You will lead comparative studies
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an environment of collaboration. Opportunity to work in a diverse and encouraging research environment. Ability to drive process improvement and growth of the program. What you’ll do: Proactively work with Dr
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variety of modern neuroscience techniques in the lab including two-photon imaging, electrophysiology, cross-species behavioral paradigms, and computational modeling. More information about the lab and their
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, directed evolution, computational design, etc.) Molecular biology (cloning, AAV handling) Cell culture testing (HEK cells, primary neuron culture) Biochemical assays and screening (antibody staining
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materials weighing up to several pounds (such as a laptop computer or tablet). Work may involve possible exposure to malodorous vapors, low dose radiation, contamination by toxic chemicals and acids and
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at colleges and universities to participate in national collaborative research projects managed through the Science Education Alliance (SEA) program, comprehensive educational tools and resources developed and
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consequences. More information about the lab and its work can be found by visiting https://research.fredhutch.org/malik/en.html This role will help to support a research program focusing on the evolution
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, communication, and teamwork skills. Ability to work independently and prioritize tasks according to lab needs. Strong knowledge of general computer use, Microsoft Office Suite, Google Suite, and digital file