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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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Pasteur and Sorbonne Université. More information about our team and research: https://www.institut-necker-enfants-malades.fr/node/2902 Qualifications Applicants should have a PhD or equivalent degree in
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the stratigraphic and thermal evolution of foreland basins. The study area is the Aquitaine Basin, the retro-foreland of the Pyrenean Orogen whose sediment routing systems, stratigraphic architecture, and thermal
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activities will consist in: 1. developing steganalysis methods based on incompatibility search (i.e. study the fact that elements of the image are not compatible with natural images). 2. security analysis
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will focus on the first observation of superradiance on the clock transition of ytterbium. Then, we will transport a second atomic ensemble inside the cavity and study the emergence of quantum
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publications) - A copy of the PhD defense report (rapport de soutenance) - Contact details and reference letters from two academic referees Application Deadline: October 30, 2026 Applications will be
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processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within the project and
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used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
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ESTHER is a 1D Lagrangian code for radiation-matter interaction that studies the evolution of materials transitioning from the solid phase to the plasma phase under the effect of an intense radiation pulse
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to experimental implementation and data acquisition. They will participate in the interpretation and integration of results across the different studies. The position offers a multidisciplinary research environment