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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
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. The future junior professor is expected to address key questions in the area of numerical methods for partial differential equations. Participation in the research activities of the Faculty of Natural Sciences