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to mix. In specialized heat exchangers developed for air-breathing rocket engines (Varvill, 2010), the strong reduction in tube diameter may lead to excessive tube failures caused by flow-induced
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Francophone literature, approached through methodologies developed in ecopoetics. Particular attention will be given to the contrasting literary models of utopia and dystopia, articulated in both realist and
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offers a unique opportunity to work at the intersection of computational physics, neuroscience, and biomechanics, developing physics-based simulations that bridge neural circuits, muscle activity, and
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on the second part of the project and will consist in using heterogeneous catalysts developed by the first PhD student in the oxidation of cellulose to determine the best catalysts formulations, along with
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-source CPU-GPU coordinate-agnostic particle-in-cell (PIC) code ENTITY, the aim of the doctoral thesis is to characterize the dynamics of these shock waves, their long-term evolution, and their
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. This approach will enable the development of a novel and versatile photonic platform that couples atomic systems with metamaterials. This work constitutes one of the central objectives of the ANR PCR project
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
with ÉTS Montréal and UQAM, and includes opportunities for short- and medium-term research visits, collaborative development, and joint publications. We are looking for a candidate who can bring new
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. These alterations contribute to the development of pathologies such as pelvic organ prolapse or urinary incontinence, whose underlying biomechanical mechanisms remain insufficiently understood. This PhD project
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
could be key to the development of new therapeutic opportunities. To explore the relationship between intrinsic and extrinsic WM features, our team proposes an original PhD program involving the analysis
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from limited data; development of automated and interactive pipelines. • AI and image processing for anomaly detection: data acquisition (dataset creation and validation), segmentation of realistic data