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, and goal-oriented working style with a strong commitment to solving complex technical challenges Practical experience with fiber optics, vacuum technology, cryogenics, finite-element simulations (FEM
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finite element methods (FEM) and deep learning approaches. Differentiable FEM enables direct access to sensitivity information within non-linear and coupled systems, while neural networks can be used
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/en/jobs/362075/phd-position-cfd-fem-modelling-… Requirements Additional Information Website for additional job details https://www.academictransfer.com/362075/ Work Location(s) Number of offers
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: •Develop a physics-based baseline time domain model for vibro-acoustic components using FEM/BEM and reduced-order modelling techniques. •Fuse sparse microphone or accelerometer data with model prediction
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
research subject:https://www.defrost.inria.fr/project/horizon-europe-ire-2024-2028/ (project page) and https://www.defrost.inria.fr/research/publications/ (DEFROST team publications) Collaboration
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to apply Website https://www.academictransfer.com/en/jobs/363316/11-phd-positions-in-the-excelle… Requirements Specific Requirements An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
. Numerical methods, in particular FEM-based stress analysis at initiation sites within the framework of local fracture approaches, provide a natural bridge between experiment and mechanistic understanding
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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., Maxwell solvers, FDTD/FEM, coupled-mode theory, or PDE/ODE solvers) Interest in electromagnetic wave propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM