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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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plasticity in the organoid reshapes functional connectivity during learning. The aim is both to advance OI as a computing paradigm and to use it as a window onto the cellular and network correlates of learning
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possess expertise in a broad range of topics in condensed matter, including magnetism, superconductivity, topological matter, and low-dimensional quantum matter. The candidate will learn and master a
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, and computer science). We do not expect any single person to be an expert across all these fields, but you must be open to learning about and embracing challenges in fields you may not yet have been
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expect any single person to be an expert across all these fields, but you must be open to learning about and embracing challenges in fields you may not yet have been working with. We thus warmly encourage
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measurement methods. These procedures target the assessment of steel properties for reuse in a new construction. Besides experimental work in the laboratory, machine learning will be employed to develop