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-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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. The overarching aim is to reveal how intracellular trafficking pathways are constructed, adapted, and regulated, while running in parallel with ongoing efforts aimed at developing therapeutic strategies to control
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components, integration into a wearable format, and establishing a consistent build, test, and quality-check process so that multiple units can be manufactured with comparable performance. In parallel
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opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
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parallel testing facilities for companion dogs and children, including equipment for eye-tracking, thermal imaging, touch screen studies, behavioral analysis from video. There is also the possibility
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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal
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field from an accredited institution. Demonstrated skills in creative problem solving and troubleshooting Experience with parallel computing and multi-core \ multi-threaded programming libraries Knowledge
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 28 days ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided