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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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information processing into an established consortium of experimental physicists and cancer biologists. The project establishes a close collaboration between IEMN and PhLAM, with the support of CANTHER
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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member of the French metrology network FIRST-TF, and a member of the REFIMEVE+ project, which physically links our institute to the LTE laboratory in Paris. This thesis will allow the candidate to acquire
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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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CNRS 6144), a leading laboratory in process engineering, particularly in electrochemical engineering for environmental applications such as water treatment and reuse, as well as the valorization
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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neuronal circuits requires the coordinated execution of several developmental processes, including neuronal migration, axon growth and guidance, and synaptogenesis. These processes critically depend
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catalytic processes in homogeneous solution and on surfaces. EMPRe team students are trained in the synthesis of ligands and transition metal complexes. They then apply methods of molecular electrochemistry
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to artifacts such as non specific absorption, parasitic reactions, or diffusion based resolution loss. In this project, we will design and control a surface modifcaiton process based on a double, photo