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strong collaboration with the SHORES multidisciplinary research teams. The project will be focused on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of
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We seek a highly motivated Post-Doctoral Fellow to join MCEM (Mechanics of Composites for Energy and Mobility). As a key member of our organization, you will play a pivotal role in developing our expertise in testing interfaces at the low scale with applications to the energy sector, such as...
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to stimulate and sustain hydrogen generation from mafic and ultramafic rock formations using CO₂-based hydraulic fracturing, high-temperature flow-through systems, and integrated multi-scale characterization
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and computational studies of mechanics of materials, with an emphasis on fracture prediction. In addition, the postdoc will contribute to and/or lead manuscript preparation and project reporting
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developed in solid and structural mechanics. In the course of their previous experience, they will have developed knowledge in one or more areas of non-linear physics or solid mechanics, such as fracture
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-temporally cooperate to result in an emergent macroscopic flow. Besides the immediate applications of the work to soft matter physics, and potentially also to the fracture mechanics of hard materials, yielding
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-temporally cooperate to result in an emergent macroscopic flow. Besides the immediate applications of the work to soft matter physics, and potentially also to the fracture mechanics of hard materials, yielding
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modeling expertise, including code development experience related to one or more of the following: 1) Flow and reactive transport in fractured porous media 2) Geomechanics and fracture propagation in
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strong collaboration with the SHORES multidisciplinary research teams. The project will be focused on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of
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backbones for classification or object detection of hemorrhage-related pathologies including cavitary hemorrhage, solid organ injury, and bleeding pelvic fractures using a very large in-house CT dataset