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numerical analyses and material characterization), laboratory testing and data analysis towards validation and upscaling, as well as system-level investigations towards commercialization. The latter
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. Develop efficient and robust numerical techniques for coupled physical domains, ensuring stability and conservation of key quantities such as energy and charge. Translate fundamental challenges
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approached by tools in both computational chemistry and applied mathematics. Specifically, the project involves the development of mathematical modeling strategies at both numerical and analytical level to
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, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element Method (DEM
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structures like aircraft and vehicles. The research aims to develop a significantly more efficient numerical method. The candidate will thoroughly derive, implement, and validate novel models for crack
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Element Method. Numerical methods. Ship/rigid body dynamics. Marine wind turbines. Anchoring systems. Professional Experience: Analysis and simulation of Offshore Wind Turbine Platforms: FOWT. Code
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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methods to estimate food passage do not measure food directly, are impractical for many species, and often require unnatural conditions to administer. This new method directly measures the transit and
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well as familiarity with machine learning workflows, natural language processing (NLP), and text-as-data methods. We are especially interested in applicants who demonstrate a strong substantive interest in using