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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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) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Geotechnical Challenges, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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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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mouse models Knowledge, Skills, and Abilities Ability to multi-task and work cooperatively with others Ability to communicate with others Ability to mentor and train junior students or undergraduate
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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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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application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting
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writing. Additional duties include intranasal administrations of extracellular vesicles in animal models of aging, traumatic brain injury, neuroinflammation, and Alzheimer’s disease, and characterization
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impairment capturable with digital interfaces. Experience with agentic large language models. Experience in artificial intelligence to develop the algorithms for digital twins. Experience with both qualitative
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results from models. Assists with the application of models. Responsible for creating and sharing periodic reports of experimental observations and results with collaborators and sponsors. Contributes