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methods, numerical analysis for stochastic PDEs, numerical analysis for multiphysics problems that couple different types of PDEs for waves, heat, elasticity, flows, etc. The duties primarily involve
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher's mission will be to study, using numerical methods, nonlinear propagation in
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Numerical Methods for Functional Calculus Appl Deadline: 2026/05/01 04:59 AM UnitedKingdomTime (posted 2026/03/12 04:00 AM UnitedKingdomTime, listed until 2026/05/01 04:59 AM UnitedKingdomTime) Position
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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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numerical calculations (DFT...) to achieve the objectives of the project. Develop adequat numerical methods necessary to reach these goals. Study of the Pt/Co/HfO2 interface: - Calculate the thermodynamical
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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for motivated students in the field of numerical fluid mechanics and multi-physics simulation methods. Be part of change Analyze and optimize existing coupling strategies to improve the efficiency and scalability