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these conditions, long term creep and shrinkage/swelling processes drive the evolution of mechanical stability of the material. The primary objective of this PhD is to enhance existing theoretical and numerical
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) machine learning. The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests: Developing numerical models for the coupled mechanical
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization
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their acoustic and thermal properties Developing and optimizing numerical models to simulate the performance of thermoacoustic microdevices Designing, fabricating, and experimentally testing prototype
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Manufacturing technique. By combining modelling, in-situ monitoring, process optimization, and advanced materials characterization, the project aims to produce crack-free tungsten components. The Department
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. This position will also design, build, test, and demonstrate new capabilities for numerical simulation of the oceanographic environment for assessment of AUV system flight performance. This position will develop
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to explore systems in which light (near-infrared) and acoustic phonons (20–300 GHz) can be confined simultaneously. Numerical simulation and optimization of acoustic and optical resonators Design and
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control of turbulent thermal boundary layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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with Epic template building, and/or provider capacity optimization Academic institution or large integrated health system experience. Key Responsibilities 50% - Template Management, Design and Build 40