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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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to efficiently identify materials with optimal mechanical properties and controlled degradability. The primary task is to develop techniques for synthesizing degradable polymers and copolymers using ring-opening
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research contractors. Through the design and characterization of new materials, the laboratory's approach leads to the optimization of a wide range of properties for targeted applications. The position is in
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optimizations are still needed to adapt the translation of these mRNAs to the cell types of interest. As part of a collaboration with Chantal Pichon's team (University of Orleans), this project aims to use
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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synthesis, purification and characterization Electrochemical and photophysical studies Solar cell design and optimization Bibliography Writing of reports and articles The CEISAM lab federates research
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Process: designing, preparing, shaping and characterizing materials in order to discover, control and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or
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of the main technical challenges associated with each pattern. - You will develop these proxy apps by leveraging the libraries, frameworks, and tools provided by the other NumPEx teams. - You will optimize
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di Cuneo) will focus on: Sharing French and Italian experiences and jointly reflecting on the optimal placement of new measurement and observation instruments to be deployed during the project; Pooling
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to optimize patient outcomes. Responsibilities : The selected candidate will have a central role in the implementation of the "EMULATE" project, which aims to: assess the feasibility of generating evidence