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complementary satellite data (e.g. multispectral, multi-frequency SAR sensors) to improve the characterization of forest structure, biomass and deforestation dynamics at various scales. Development
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synthesis method for high-entropy alloy nanoparticles (nano-HEAs) and evaluating their catalytic performance in CO₂ methanation, a key reaction for converting renewable energy into synthetic gas
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of systems in constrained environments and sensors and instrumentation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5214-JEAGAY-082/Candidater.aspx Requirements Research
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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.) -Expertise in heterogeneous catalysis (gas/solid or gas/solid/liquid) and kinetics -Good knowledge of organometallic synthesis of group 5 and 6 metals (tantalum, tungsten) and organometallic surface chemistry
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Polyurethane foams play a key role in thermal insulation, particularly in cryogenic environments such as liquefied gas tanks (methane, hydrogen, oxygen). To date, their expansion relies on fluorinated blowing
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of applications, these PBRs can be used for separation, to produce nanoparticles or as catalytic reactors. It is in this context that we propose to study PBRs as gas-liquid contactors with a view to capturing CO2
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, robustness under varying turbulence, and autonomy for distributed systems. To address this, the group integrates Artificial Intelligence into AO control loops, using deep learning to handle sensor
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spectroscopy (TRPL, ns), Transient Absorption Spectroscopy (TAS, ps, fs), photocatalytic reactors, gas-chromatography coupled mass-spectroscopy (GC-MS), MicroGC, (photo)-electrochemical cell, Photon-to-Current
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- Design pilot and data collection of MEEG and behavioral experiments with Psychtoolbox, JsPsych, Pavlovia - Univarate and multivariete analysis (RSA, encoding and decoding models) of MEEG data at sensor and