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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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2 Apr 2026 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering
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architecture on a variety of datasets. In a second phase, several domain adaptation strategies taking into account the specificity of the data (low resolution), the correlations between the different sites, and
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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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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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how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large