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: - reading and understanding theoretical physics articles, in particular with a view to deriving equivalent computer algorithms - develop and/or adapt a physical modem and/or a Monte Carlo type code in
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the French teams of the consortium, and will contribute to the data analysis of the experiments possibly inspired by the theoretical work. She/he will supervise PhD and master students (in particular, one PhD
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will supervise PhD and master students (in particular, one PhD student will be hired to work on the project), write papers, present the work in conferences and actively contribute to the scientific life
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dimension of computer-mediated communication. Project Phases M1 - M6: Familiarization with the tweet corpus and preparation of the dataset for linguistic analysis. M7 - M18: Corpus analysis using various
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Université Gustave Eiffel's supervisor, in collaboration with the supervisor of Yonsei University, will apply together to develop the following research project : Self-powered water purification system
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(classical and/or quantum) Knowledge of solution chemistry is desirable. Curiosity, autonomy and ability to work as part of a team are three essential qualities for this study. Knowledge of computer tools
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of your email. Your profile PhD in Life Sciences, Neurosciences, Molecular Biology or related field with solid lab experience (+5 years) Strong interest in interdisciplinary research and cellular
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and expertise in a wide variety of disciplines (mathematics and computer science, electronics, materials, chemistry, civil engineering, geosciences, social sciences, psychology, economics, management
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breakthroughs in fields such as natural language processing (NLP) and computer vision. These architectures serve as the backbone of foundation models (FMs), which excel in solving fundamental and general tasks
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methods for processing, and analyzing. That is why, data-driven approaches are becoming increasingly popular in the localization and navigation domain due to their ability to address complex challenges