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Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and
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encouraged to apply. - Machine learning and signal processing. - Speech science and technologies. - Knowledge of Python is required for implementation. - Strong motivation for dataset recording, methodology
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of this project are expected to be published in the main natural language processing conferences/journals (*ACL/EMNLP/TACL) and/or main machine learning conferences/journals (NeurIPS/ICLR/ICML/AISTATS/TMLR
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properties of a given electrode-electrolyte interface (e.g., pH, specific adsorption of molecules, nature of the ionic species) have a critical influence onto the reactivity and durability of electrochemical
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communication (writing and oral) skills. English is mandatory. Additional comments Welcomed experiences: PhD thesis in seismology, seismic imaging, seismic array processing, inversion methods. The post-doc will
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acquisition and processing, - programming (python, matlab...). Complementary skills, such as a good knowledge of the English language (written and spoken) and the ability to work in multi-disciplinary teams
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” have a noticeable impact on the development of microstructures throughout the process and, subsequently, on the ultimate properties of the steel [1]. Currently, knowledge is lacking to optimize
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exhibit isotopic fractionation. This process leaves a fingerprint on the products of these reactions. If records of these products are preserved, as in the case of ice cores, for example, the isotopic
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prominent in domains like natural language processing (GPT, Llama, Mistral, etc) or vision (CLIP, DALL-E, Flamingo, etc). Trained with large quantities of data using self-supervision, they may be used
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, or natural language processing - Programming skills (e.g., Python, Matlab, JavaScript) - Knowledge of statistical analyses (R) Desired assets: - Experience with EEG - Experience with online testing