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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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the initial phase of the project, the theory–experiment feedback loop will be developed using an existing experimental platform whose operation and associated data-analysis methods are already well established
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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growth at grain boundaries; (iii) the development of methods for in situ pH monitoring; and (iv) data processing (image analysis). Keywords: microfluidics, bioprecipitation, porous media, MICP
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. The Institute develops innovative methods in imaging, chemistry, physiology and computing. As part of Bordeaux Neurocampus, the IINS is one of the key players in the neuroscience community in Aquitaine. Where
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, optimal transport, set evolution and shape optimization, calculus of variations), and/or convex/non-convex optimization methods (first-order algorithms, nonlinear/non-Euclidean gradient descents
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methodology combines: -Qualitative research (ethnography, interviews, documentary analysis), -Quantitative analysis (statistics, surveys), -Mixed methods. The project will work in collaboration with IRL CNRS
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. Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation. In The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). Where to apply
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propose to conduct pre-steady-state kinetic experiments using a stopped-flow apparatus. Using this method, we will be able to determine the association rate constant (kon) of the 30S and 50S subunits and
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of technological disruption driven by Artificial Intelligence, we propose to analyze the data and quantify these similarities by exploring various applications of machine learning methods. With the advancement of AI