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research project Optimal adaptive spacetime boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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numerical modeling using CFD and FEM techniques, the use of generative CAD tools and shape optimization methods, as well as the integration of experimental and structural measurements with simulation data
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fundamental research with new numerical and theoretical approaches for data analysis. The laboratory's research is concentrated on particle physics, gravitational waves, and the equation of state of nuclear
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equations of motion via Hamilton's principle; theories of waves, instabilities, turbulence, and circulation; waves and mean flow interactions; and novel methods for ocean numerical models. - Formulate
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the design of efficient numerical algorithms, the development and extension of the lifex library, and the analysis of simulation results. The goal is to advance predictive, clinically relevant computational
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] Subject Area: Numerical analysis Appl Deadline: 2026/04/13 10:59 PM UnitedKingdomTime (posted 2026/03/11 04:00 AM UnitedKingdomTime, listed until 2026/04/14 04:59 AM UnitedKingdomTime) Position Description
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simulations that reproduce experimental results. The candidate will participate to the experimental data (already acquired and to be acquired) analysis and to the determination of the experimental strategy
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models for the analysis of complex longitudinal data with repeated measurements, especially in neuroimaging and interventional neuroscience. Key topics include: linear and nonlinear mixed models with fixed
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exposure to two-phase flow, boiling heat transfer, or thermal systems being an advantage, Familiarity with numerical simulation tools (e.g., CFD) and/or analytical methods for thermal-fluid analysis