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Field
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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extreme time constraints. Develop a path generation system that globally optimizes the throughput of the system. The system must be able to generate paths in a tight time-window. The exact focus of the PhD
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 days ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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-00763200, with a view to developing R&D activities, namely: participating in the development and implementation of R&D projects and related scientific and technical activities; monitoring the work carried
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far from mature. This creates a unique opportunity: you will enter a field with demonstrated scientific merit and global momentum, while contributing to the development of its next generation of
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be implemented in LCA calculation software and tested in case work scenarios. Despite the implementation/integration of the selected equations, the developed models will be tested for the newly
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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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software development, including version control, testing, and reproducible research workflows; familiarity with CI/CD practices is an advantage. Experience with supervision of BSc and MSc student projects
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, Xarray, etc.); Familiarity with collaborative software development tools and practices (Git, documentation, etc.); Experience in international and interdisciplinary research contexts; Experience in writing