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Nationale des Ponts et Chaussées, IP Paris, under the supervision of Mathieu Aubry , in the context of the DISCOVER ERC project on "Discovering and Analyzing Visual Structures". This PhD project aims
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critical for optimizing performance and is an important ingredient in the design of high performance parts in aeronautics, energy, transport, and plenty of other domains. The theory behind the aforementioned
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optimize the coupling between the expansion machine and the generator; study the sensitivity to design parameters (bore, stroke, valve, alternator structure) and operational parameters. Task 2: Mechanical
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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interpretable local explanations for opaque machine learning models. Our approach is structured around two complementary axes: simplified abductive explanations ("Lite Explanations") that offer a compromise
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human cells and tissues. 1. Perform research, from experimental design and implementation to the writing of results: • Analyse the scientific literature for the project. • Design and optimize DNA
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, when the flow is mainly populated by small-scale structures. However, as the Reynolds increases, these control strategies become rapidly inefficient. This degradation can be explained by the fact
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electrospinning devices, as well as structural characterization tools (microscopy, X-ray, spectroscopy), and mechanical and rheological equipment. Context This PhD is part of the ANR FLIGHT project, which aims
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are as follows: Optimize and develop new measurement protocols for single-crystal paleointensity, in particular by combining this technique with the use of a "multispecimen" approach. Test a potential bias
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to optimize the existing experimental setup, develop new methodologies to conduct the proposed experiments, analyze and interpret experimental data in collaboration with fellow researchers in and outside