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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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. 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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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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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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-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
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project aims to design a highly-efficient heat pump based on an innovative thermodynamic principle and intelligent on-board control, in order to improve its energy performance while actively reducing its
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CARNOT project, GALOPER. Galoper is a joint project between GPM Rouen and LCS Caen aiming at building up a complete picture of the mechanisms controlling the Gallium oxide behavior within the porous MFI
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led by Stefania Castagnetti (Mitosis and Spindle Control team), in collaboration with Evelyn Houliston (Developmental Mechanisms of Cnidarians team). Both teams are based at the Laboratoire de Biologie
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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics