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Field
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Processes (EIP) team to study aspects of material recycling. Finally, stays at POLYMAT in Spain as part of a joint supervision are planned to optimize the transport properties of electrolytes. The production
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
. For these two reasons, it is essential to monitor the injection process parameters in real time in order to adapt to the rheological behavior of recycled polymers, with the aim of ensuring optimal and repeatable
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Interatomic Potentials) code for ternary compounds with variable composition with crystal structure optimization algorithms (evolutionary, random, etc.); - Application of the CSP DFT/MLIP methodology to various
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, and the fluctuational electrodynamics, theoretical calculations will be done to quantify and optimize this rectification effect for nanowires of SiO2, SiC, and SiN with a gold coating at one
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includes both theoretical and experimental components. This fundamental research aims to open new perspectives on various topics: optimizing the stability of micro-mechanical systems, controlling the energy
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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objectives of this postdoctoral project. Scientific Challenges and Objectives The main scientific bottlenecks to address include: Achieving optimal balance between growth rate and lipid accumulation under
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions