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chemical processes, such as artificial photosynthesis. It relies on the combination of bulk photophysical processes and surface chemical processes within complex composite nanostructures, the interplay
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offers a unique and stimulating scientific environment, structured around team meetings, laboratory seminars, and interdisciplinary public seminars focused on energy and transition-related topics. The PhD
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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French research laboratories working on thermophotovoltaic cells, photonic structures, and energy-conversion systems. This collaborative environment will provide the candidate with exposure to optical
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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matter is ubiquitous in water resources; this complex matrix is composed of natural and anthropogenic complex macromolecules. From soil studies, it is well known that stable radical species are ubiquitous
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of the data in order to decode the mode of action of NPPs in the context of mammary tumorigenesis. The doctoral research program is structured around two integrated research axes: Axis 1: Colloidal
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specialist of the sociology of Wikipedia and a senior data engineer from the Wikimedia Foundation. Candidates (M/F) should hold a Master's degree in Theoretical Physics and/or Complex systems, and have a good
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, that published e-books be available in a format accessible to people who cannot read visually. However, comic books, due to their visual and narrative complexity, have been granted a temporary exemption by ARCOM
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-level APIs to access various data sources, sensors, together with procedural data flow constructs to create and maintain complex data curation scripts (e.g., using Python). In smart robotic agriculture