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thermodynamic cycles by combining two complementary approaches: - Generative models derived from artificial intelligence, capable of proposing new process architectures; - Superstructure-based optimization
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The postdoc's primary mission will be to optimize feedback (critical incident technique) in high-security contexts using interview protocols developed within the framework of the scientific psychology
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.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation
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(photomixing). The candidate will work primarily in the IEMN cleanroom, developing and optimizing micro/nanofabrication process flows for laser device realization. A first research axis will focus
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analyses, isotope-based approaches (CSIA), and molecular biology tools to investigate: • contaminant fluxes and bioavailable fractions in urban aquatic systems, • transformation processes and interactions
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mechanisms of water splitting in porous carbon electrodes. In response to the urgency of reducing CO₂ emissions and replacing polluting industrial processes (such as steam reforming), water electrolysis, while
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), which is sliced, stained, and ultimately examined by a specialist to diagnose its cancerous nature. This process is time-consuming (1–24 hours) and hinders optimal patient management during surgery or
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) which is sliced and stained to be finally observed by a specialist allowing him to make a diagnosis on its cancerous nature. This process is long (1h-72h) and prevents the optimal management of patients
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) nanosheets for low-pressure hydrogen storage applications. This position involves close collaboration with academic and industrial partners to design innovative nanomaterials and optimize their performance
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and