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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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therapeutic effects of intranasal extracellular vesicle treatment in animal models of disease using various neurobehavioral tests Performing brain tissue analysis involving immunohistochemical and
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) invites applications for a Postdoctoral Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group
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, vehicle dynamics, and complex real-world environments. Research themes include model predictive control, reinforcement learning, reachability analysis, uncertainty quantification, and safety-critical visual
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expertise in working across multiple model organisms to investigate circadian rhythms and sleep regulation. Opportunities to Contribute Conducts research in field of expertise, applying specialized knowledge
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to multi-task and work cooperatively with others. Responsibilities Research Performs genetic and cell biological experiments in yeast, participation in developing and characterizing new yeast models
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, CONN, and SPM. Familiarity with low-intensity focused ultrasound modeling to establish actual tissue energy delivery (preferably with Babel Brain or embedded in Brain sight neuro navigation system, or k
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quantitative models. Interprets the data and explain the results in research discussion. Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets Data
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machine learning techniques, both data-driven and physics-informed, with mantle convection modeling to investigate planetary evolution and habitability. This is a one-year position with the possibility