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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation
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of peer-reviewed publications and conference presentations in traumatic stress. Advanced data anaylsis skills, including use of statistical software (e.g. SPSS, R, SAS). Prior involvement in successful
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to the analysis of geologic or geophysical processes. Demonstrated data analysis skills using computational software, Excel, and programs. Ability to multitask and work cooperatively with others
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Institutional Review Board (IRB) submissions at a major academic institution. Experience utilizing data visualization software (e.g., Tableau, Power BI, R Shiny) to design and implement interactive dashboards
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rhythms using Drosophila as a model system. This research will involve biochemical assays, cell imaging, genomics, and computational approaches to define how conformational changes in CLOCK and PERIOD
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scientific manuscripts/publications Assist with data analysis using Statistical Analysis Software Team collaboration and problem solving Engage in weekly lab meetings to discuss progress, troubleshoot ongoing
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, Axoclamp 900A amplifiers or comparable, and PClamp software or equivalent. A commitment to excellence in performing and analyzing pharmacology research. Responisbilities Epilepsy Neuroscience Research Plan
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Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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. Maintain reproducible code and documentation. Conduct simulation experiments using driving simulators or other software tools to test and validate algorithms. Perform physical experiments on robotic and