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into **influence functions**, theoretical tools designed to quantify the impact of a sample on a machine learning model. These functions, defined through the derivative of model parameters or the loss function with
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) prior to the start of the contract. The PhD candidate will be responsible to implement the proposed research project, to collaborate with researchers of other institutes and to participate in laboratory
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agents and as photosensitizers. The PhD student will acquire expertise in techniques for studying ROS generation in solution (indirect methods using internal dyes) and in vitro (using ROS-active dyes
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interactions, dynamics and function of membrane proteins, protein folding and aggregation. The master internship and following PhD will be performed in close collaboration with the team of Yohann Boutte in
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the growing industrial demand for efficient thermal management, this PhD project focuses on developing low-cost, low-tech, self-adaptive vortex generators as passive flow-control devices for various
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Description The PhD student will join the T4-SECRET team (https://igdr.univ-rennes.fr/en/t4-secret-group-kevin-mace ), a young and dynamic group specialised in the structural and mechanistic study of Type IV
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on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative
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technological platforms on site. The PhD student's work will be carried out at the IGBMC's integrative biology center. He/she will have privileged access to the team's computing server (GPU node) and the
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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and Seidel in the early 2000s, inspired by symplectic geometry. This PhD project is part of a broader research program aiming to use categorical tools to derive geometric results about the