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low-carbon power-generating reactors based on laser fusion. In France, the Taranis project, selected in March 2024 as part of the France 2030 plan and led by the startup GenF, brings together a national
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, and computational biology. The project includes collaborations with academic partners specialized in probabilistic modeling and experimental biophysics, notably through interactions with research groups
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. The IEMN (Institute of Electronics, Microelectronics and Nanotechnology, CNRS UMR 8520, Lille) will contribute its expertise in the design and fabrication of microelectrodes and devices for interfacing with
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environments. More specifically, this PhD project belongs to the research theme "Radiolysis at Interfaces", currently developed within the MATICE group. The work will be conducted in close interaction with
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, there is a strong demand for the development of non-invasive methodologies, able to probe chemical gradients in the vicinity of individual nano objects in operando conditions. In this PhD thesis, we plan
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. Jose Moran-Mirabal's laboratory at McMaster University (Canada), internationally recognized for advanced biomaterials and hydrogel engineering. The successful candidate will participate in the design and
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training environment, combining advanced scientific training, an openness to innovation, and strong interdisciplinary interactions. The PhD project will be carried out within the Nuclear Physics department
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. The developments will also aim to extend existing approaches, which are often restricted to integrated quantities, to the reconstruction of complete statistical fields. The ultimate goal is to design a goal-oriented
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interactions with planets and their magnetospheres, and the broader topic of Space Weather. Today, most research in HP is data-driven, with data processing pipelines that produce time series, images, spectra
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to the objectives of technological sovereignty, methodological innovation, and the structuring of CCI ecosystems by proposing a scientific framework for mastering the use of generative AI in cultural and heritage