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, compliance processes, and personnel support. For more information about the lab, please visit: Ed Boyden - Synthetic Neurobiology Group About the Role We are seeking an experienced and highly organized
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combine genetics, optogenetics, in vivo calcium imaging, and quantitative behavioral methods to uncover fundamental organizational and functional principles of the brain. For more information about the
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imaging (e.g., SCiLS™), Crosslinking MS data (e.g., XlinkX, MeroX) Strong computational aptitude and familiarity with statistics, data visualization, and large-scale data management; experience using R
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Cornell University’s Department of Neurobiology and Behavior has the goal of understanding how visual circuits in the brain meet the specialized behavioral demands of different animals. More information
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information and control behavior in mice and songbirds. We place particular emphasis on advanced optical approaches, including multiphoton microscopy, Bessel-beam imaging, and closed-loop patterned stimulation
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high-throughput screening assays and protein large language models to design new activity-dependent labeling enzymes and transcriptional reporters optimized for application in the peripheral nervous
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orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation package, with
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data context and processing requirements. Document data provenance and transformation steps comprehensively. Apply statistical tools and programming languages (e.g., Python, R) to analyze large datasets
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to gain insight into how this large and highly divergent ion channel family can recognize the vast chemical world. Ongoing work, funded by generous support from HHMI, NIAID, and the Gates Foundation, is
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with real-time programming. Experience with machine learning, big data, signal processing preferred. Experience in solving complex problems independently. Good communication skills, comfortable working