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system using mouse models. Techniques may include confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis. Genetic mouse models will be applied
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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The College of Engineering and Computer Science at Texas A&M University–Corpus Christi (TAMU-CC) invites applications for a Postdoctoral Research Associate to advance the state of the art in safe, efficient
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computation geodynamics modeling. Familiarity with theoretical and practical aspects of scientific machine learning. Ability to sit for extended periods (e.g., 6-8 hours/day). Visual acuity to read computer
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of remaining seated at computer/amplifier/microscope for one or more extended blocks of time (2-3 h) on a given day. Must have hand-eye coordination and dexterity to perform rodent surgical procedures/prepare
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models. Examines the role of NMDA receptor subtypes in astrocytes and interneurons. Examines the role of glutamate delta 1 receptor in Parkinson’s disease and chronic pain. Uses techniques including
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the potential of targeting a haplolethal gene for effective genetic control of Ae. aegypti populations. The modeling aspect of the project will focus on developing computational models to analyze the intricate
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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immunity Studying immune responses to viral vaccines Exploring helminth-induced modulation of antiviral immune responses Most experiments will involve mouse models. Prior experience with mice is preferred
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managing work tasks, facilitating communication, preparing reports, and organizing various aspects of the assigned research projects. Opportunities to Contribute Data collection, data analysis, and model