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education in numerical methods for solving partial differential equations. Master students can apply, but the master's degree must be obtained and documented before starting the position and no later than
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or more of the following topics: numerical methods for (partial) differential equations. optimization or inverse problems. data assimilation or uncertainty quantification. agentic and generative AI. solid
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
-controller. The second direction concerns the development of efficient numerical algorithms for workspace computation and characterization, considering tools developed in the applied mathematics field such as
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software. Required selection criteria You must have a professionally relevant background in Applied/Numerical Mathematics, Physics and/or Ecology with a solid education in numerical methods for solving
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to cover: Reviewing and developing state-of-the-art stressor-receptor-impact assessment methods for offshore wind farms, with a focus on biodiversity and ecosystem impacts in life cycle assessment (LCA
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models (GNNs, CNN-LSTM, Transformers) to capture spatial-temporal patterns in weather and energy data. Integrate multi-source data, including numerical weather predictions and real-time inputs, for short
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criteria It is beneficial if the candidate has a strong background in Numerical methods Elasto-plasticity Wave propagation in solids and porous media Blast, impact or shock loading Programming and scientific
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, non-invasive tools is the goal of the emerging field of vocal biomarkers. In this project you will work at the interface of acoustics and signal processing, with an emphasis on methods
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relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de