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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 13 hours ago
nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential
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learning, and generative AI Design and implement algorithms for quantum-inspired and quantum-enhanced generative models Investigate theoretical foundations of tensor networks, entanglement, and collapse
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 17 days ago
, located at Inria Paris and École Normale Supérieure (ENS). The team conducts research in various aspects of quantum information theory, including quantum error correction, quantum algorithms, and the
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engaged teaching and research, as well as proven experience related to the specialization areas listed below. Although we are looking for a technical profile, a strong interdisciplinary interest is an asset
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, as well as proven experience related to the specialization areas listed below. Although we are looking for a technical profile, a strong interdisciplinary interest is an asset. Teaching experience
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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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Apply by sending an email directly to the supervisor. The application will include: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ including the list
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robots, avatars, social bots, virtual assistants, or AI-driven systems such as chatbots, recommender algorithms, or generative AI. The position focuses on how communicative processes are shaped by and
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next