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, contributing to research in the field of artificial learning. The data generated by this doctoral work will be deposited on open archaeological databases (Nakala, Huma-Num, POP, etc.), and the algorithmic code
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user requests into dataflows, API calls, analytics workflows, and robotic actions across distributed IoT, drone, and agri-robot ecosystems. It will address challenges such as semantic grounding
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are reaching their limits in the face of the increasing complexity of distributed energy systems. The simultaneous presence of multiple energy sources, frequent topology changes, interactions between physical
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symmetry is broken, as at interfaces. SHG intensity depends on the number of adsorbed molecules, their orientational distribution, and the local electrostatic environment, and has proven sensitive
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, and to test them experimentally. The next step will be to determine the distribution of deformations required to achieve complex shapes (inverse problem). Finally, we will seek to automatically produce
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of kinematic distributions and the polarization of vector bosons at high energies. This PhD project focuses on the study of vector-boson pair production in association with two forward hadronic jets, a
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Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8180-CLEGHI-002/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Research FieldEnvironmental scienceEducation
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of algorithmic processing, and bias management. In the field of cultural heritage, the rapid democratization of image and 3D content generators has led to the widespread circulation of visually appealing
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solution to accumulation in biofilms. - Perform state-of-the-art analyses on metal distribution and chemical gradients internal to the biofilm (pH and oxygen microelectrodes, detection of reactive oxygen
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques