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of atomristors. This project aims to develop methods for the controlled creation of defects smaller than 10 nm in order to manipulate the density of states of 2D materials. Advances in the fundamental
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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on the use of zeolites as sacrificial templates to obtain structured carbon nitrides. These materials are expected to combine very high surface areas, controlled microporosity, and a high density of defects
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. These phenomena are based on the description of a complex flow formed by particles suspended in water, whose solid concentration is controlled both by soil erosion and by particle sedimentation processes
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
-of-plane ferroelectric domains. The goal of this PhD is to optically detect, track, and ultimately control the ferroelectric state in such materials. Key objectives include imaging ferroelectric domains in a
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for clarithromycin-induced resistance, which is the central pillar of multidrug therapy to control M. abscessus infections. Using wild-type (WT) and clarithromycin-resistant planktonic strains, we demonstrated
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of neural circuits essential for adaptation. The successful candidate will explore the dynamics of neural populations in key brain regions for decision-making and behavioral control: the frontal cortex and
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active in the fields of robotics, mechatronics, automatic control and artificial intelligence. Both departments are located in the same building, and have a long history of working together. A world
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of the principles and use of specific equipment in the field: incubators, spectrophotometers, thermocyclers, plate washers, microscopes, HPLC, SPR, ITC, etc. Using IT tools for data recording and equipment control
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-chip (OoC) technology offer precise control over critical parameters such as fluid dynamics and mechanical stimuli that closely mimic in vivo conditions. This project aims to develop a vascularized liver