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roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a comprehensive railway network delay propagation model capable of addressing a
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of matter at the atomic scale. The postdoctoral researcher will lead the theory component of a research program, developing microscopic models of impurity-host coupling and identifying optical signatures
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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instructional models for use in ENGR 110/115, the ENGR+ Fall Showcase, and other educational activities. These models will help introduce nuclear engineering and radiation health physics concepts to students with
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Offer Description Mission: Develop applied research activities in quantum networks, focused on their modeling and experimental characterization. Functions to be developed: Perform modeling and simulation
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering