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at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
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, or optimization**, connected to **artificial intelligence** and the research of **Antonin Chambolle** and his collaborators at CEREMADE. The position is a research position. The candidate will interact mainly with
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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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intelligence. * Compile and analyse a corpus of interviews, verbatim transcripts of participatory workshops, and institutional, regulatory and territorial documents. * Participate in field investigations and
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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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of algorithms based on artificial intelligence, since, to fully exploit the potential of AI, algorithms must be fed with data. This research project will examine these issues by focusing on three main areas
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by information and communication technology which could lead 20% of global energy production to be consumed by the adoption of artificial intelligence. Therefore, “unconventional” computing
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, an interdisciplinary effort at the interface of genomics, artificial intelligence, and biophysics. The project aims to elucidate the mechanisms governing DNA replication initiation in metazoans by combining deep
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artificial intelligence to identify molecular signatures of resilience and decipher the underlying mechanisms of Mediterranean ecosystem recovery after wildfires. - **Activity 1:** Field campaigns will be
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements