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for the solution of partial differential equations. Research experience with integration of ROM and the Finite Element method is a plus. Demonstrated programming skills (Fortran/C++/Python/Julia), preferably in
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of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model (ISSM), field observations, and various remote sensing products. The division of Geodesy
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: Task 1: Damage survey and mapping, based on the on-site surveys, and processing of the existing monitoring data. Task 2: Develop and calibration of a 3D numerical model, based on the Finite Element
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methods to enhance the understanding of the Greenland Ice Sheet, peripheral glaciers, and their contribution to sea level rise using finite element models such as the Ice-sheet and Sea-level System Model
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments