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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
performance and ground risks in variable and uncertain geologies. The researcher will be embedded in a team that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The
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distributed control strategies, including grid-forming converters connected to storage and renewable systems. Integrating IoT devices, edge controllers and middleware layers with cloud computing platforms
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studies how local environments impact the chemical physics of chemical reactions at battery and atmospheric interfaces, the homeostatic control of photosynthesis, and/or next generation quantum devices
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group study the impact of early life exposures to environmental chemicals. In particular per- and polyfluoroalkyl substances (PFAS) is a main focus area, with studies of the adverse health effects
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, bringing new techniques to the lab (e.g. molecular engineering, informatics), growing the research into new directions, managing personnel, assisting with grant and manuscript submissions, and managing
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-informatics, GIS mapping, and water quality modeling techniques to address complex environmental challenges. You will work closely with Dr. Seneshaw Tsegaye, Chair of the Department of Bioengineering, Civil
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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affected by lifestyle, environment, and genes. While these risk factors will be important in understanding long-term health, it is not yet clear how physiological data, such as neuro-imaging can advance our