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structures, spectra) within foundation models. The postdoctoral researcher will design innovative "tokenization" strategies to integrate these non-linguistic data types into Transformer-based architectures
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devices, combining ferroelectricity and spintronics, with strong potential for disruptive logic-in-memory computing architectures. The candidate will carry out experimental work covering the full device
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not yet succeeded in reaching the fundamental quantum state of a levitated nanoparticle. During this project, the candidate will experimentally implement a new optical levitation architecture to achieve
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the communication on the master programme in architecture Tutoring and evaluating master and PHD students Administrative tasks Your profile Master and Ph.D. degree in architecture or urbanism, or in
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of novel robotic architectures, with the ultimate goal of developing an original technology with no international equivalent and strong prospects for industrial and clinical applications. Project Overview
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representations as a first building block, the recruited candidate will be responsible for developing end-to-end interpretable neural architectures. The goal is to remain within an interpretable space throughout
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 12 hours ago
have applications to quantum computing architectures. Recent work shows that the study of the internal causal structure of unitary transformations requires extending the standard model of quantum
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27 Mar 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained