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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled
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-making processes to autonomous control and analytics. This PhD project aims to investigate and design novel abstractions, models, and algorithms that enable the superimposition of human-in-the-loop
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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an average of twenty members, including eight permanent researchers. The PhD student will be supervised by Lucile Anthore-Dalion, a researcher specializing in synthetic methodology. The project will build upon
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major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD project will be supervised by Dr
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system. To achieve this, the PhD will combine: instrumental development (optical optimization, illumination strategies, multi-camera synchronization), optical modeling (contrast mechanisms in phase
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close coordination with project partners, the recruited researcher will conduct experiments to determine the extent to which neural models, now at the heart of many approaches to Natural
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displacement of a carbon nanotube and leverages its coupling to an electronic two-level system to induce sufficiently strong anharmonicity, enabling its manipulation and readout. In this PhD project, we aim