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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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the majority of polluting ionic species, as well as toxic heavy metal ions (Pb2+). The multiplexed detection system proposed for the study is based on the cointegration of several sensors that are selectively
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between the simulator and sensors located in the operating room. This will require implementing data acquisition algorithms and data processing algorithms within the simulator. The second point concerns
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of operating with a very limited number of sensors. The core concept relies on signature-informed modeling. The principle is to extract only essential and robust information about key parameters of interest from
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and operando gas-assisted Environmental Transmission Electron Microscopy experiments to the investigation of gallium doped zeolites under realistic conditions of functioning, in the framework of a
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audio equipment company based in Saint Etienne. The PhD student will join the 'Transducers' team at LAUM (Le Mans University), whose research activities focus mainly on the study of transducers (sensors
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of hydrogen combustion for gas turbines Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5502-LAUSEL-005/Candidater.aspx Requirements Research FieldEngineeringEducation LevelMaster
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experimental data from the BIMER rig, which represents lean premixed prevaporized injectors in gas turbine engines, with high-fidelity simulations validated in collaboration with project partners. The research
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that have formed through plasma excitation in the gas phase on the catalyst surface; (iii) reinforce the electric field around the catalyst surface. The thesis consists of performing the following tasks
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when a change occurs either at the level of the sensor or the calculator. Such a system has thus extremely low power consumption if the activity is null. An illustration of this concept is the event