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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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This multidisciplinary thesis requires strong expertise in several of the following areas: Robotics, computer vision, control systems, dynamic modeling, signal processing, or machine learning
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the functional links between transcription factor condensate formation and autophagy, and the involvement of these processes in the temporal interpretation of auxin information and the control of organogenesis
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biological mechanisms that control it remain largely unknown. The aim of this PhD project will be to understand how changes in pressure drive this extremely rapid three-dimensional reconfiguration of a tissue
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the influence of activation conditions on the formation and properties of polymer networks, and to compare different cross-linking technologies under controlled experimental conditions. Particular attention will
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four main objectives: - Design and fabricate foam-bonded granular materials, by controlling formulation parameters, shaping processes, and binder solidification. - Characterize the microstructure
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the Linux/Unix command line, and a solid foundation in statistics. Candidates should be able to work both independently and collaboratively and to communicate scientific results effectively in English
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-dimensional scaffolds using FDM 3D printing for cell culture applications. Develop and optimize biomimetic materials with controlled mechanical and biochemical properties. Functionalize scaffolds with
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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project aims to develop digital polymers capable of storing binary information at the molecular level. To achieve this, we will synthesize sequence-controlled polymers using a multi-step solid-phase