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theoretical calculations to identify the catalysts to be used to obtain monomers that will subsequently be synthesised. - Interact with experimenters - Develop an extensive database based on DFT calculations
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by
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matter exist in theories beyond the SM, and the WIMP (Weakly Interacting Massive Particle) is one of the best motivated of these candidates, as it allows to also solve the SM hierarchy problem, directly
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teams aim to increase the diversity and dynamism of data, services, interaction devices, and use cases in order to influence the evolution of software and systems to guarantee essential properties such as
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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photophysics and interaction with biologists. Working conditions: - Easy access to the site by public transport and bicycle - Possibility of partial coverage of subscription costs by the CNRS - Meals available