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optoelectronic materials through advanced characterization and AI-guided optimization of epitaxial growth parameters. The PhD student will work on the various technological building blocks of the epitaxial growth
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three scientific research departments, themselves organized into teams. The PhD will take place more specifically within the MAORE team, whose members use tools from combinatorial optimization, graph
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with the CNRS and the University of Montpellier. It hosts around 220 staff members and is organized into three departments. The PhD student will join the team “Epigenetic Chromatin Regulation”, under
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in various fields, including petrochemistry, environmental science, polymers, and biomass valorization. The selected candidate will work closely with researchers and PhD students at the laboratory, as
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of this work is to develop the collaborative quantum computing research network within the university and its European alliance, EUTOPIA. Objectives: The goal of this PhD will be to adapt quantum systems to real
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of collaborative projects with industrial and academic partners, funded by regional, national, and European programs. The PhD will take place between the TIMA Laboratory (RMS team) and CEA-LETI in Grenoble, France
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silicon waveguides with a nanometric core. This work will include the development and optimization of simulation tools for the design of these waveguides, combining numerical results with simplified models
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hired by the CNRS and integrated
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD project within the framework of the ANR project
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models