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these processes requires AI and bioinformatics methods able to integrate heterogeneous, high-dimensional data. The ShadowEV-GBM project brings together spatial omics, metabolomics/lipidomics, molecular profiling
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at Aix-Marseille University, where she will be granted student status. Boronization is a well-established technique in tokamak operation, involving the deposition of a thin boron layer on the inner
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processes related to physical oceanography, sea ice, and biogeochemistry. Its research focuses on the interactions among these components, their coupling with the other components of the Earth system, and
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rates. The thesis will focus on: - The operation of the ion trap and laser-cooling bench, and the implementation of traditional Rabi and Ramsey scheme to demonstrate clock operation; - The implementation
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mantle in order to determine if this composition is the same as that of the nebula or the solar wind material. In the project we investigate the degassing processes of magmas experimentally and numerically
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the Amazon could trigger a self-sustaining dieback process of the rainforest, whose extent and biodiversity depend on precipitation. Climate models project a decrease in Amazonian precipitation by the end
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of efficient redox catalysts which can retain activity under continuous operation is a key challenge for the development of stable water splitting schemes. However, most reactions involved in these systems
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/signal processing, and a motivation to work in an interdisciplinary environment. The project will involve experimental multiphoton microscopy (laser alignment, data acquisition), data analysis, programming
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environment within the laboratory, including imaging and irradiation platforms (BioALTO, TWAC, Institut Curie Orsay, Institut Gustave Roussy), - data analysis and image processing tools (notably CPBM at ISMO
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skills: o Knowledge of plasma physics, laser physics, laser-matter interaction o Proficiency in scientific programming languages (Python required, C/C++ appreciated) o Skills in data processing, physical