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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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(MERCE). The main objective is to develop safe planning and reinforcement learning algorithms with various degrees of confidence for variants of Markov decision processes. More precisely, we will develop
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP
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aims with regard to education and industrial development. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5505-GERBON-002/Candidater.aspx Requirements Research FieldComputer
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 1 month ago
unified understanding of behavioral adaptation. The project aims to: Develop and analyze computational models that capture flexible, multi-timescale learning and adaptation in recurrent neural circuits
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18 Nov 2025 Job Information Organisation/Company CNRS Department VERIMAG Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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Description Evaluation of the robustness of ML algorithms executed on a non-hardened accelerator through circuit-level fault-injection The project addresses the challenges of deploying AI applications
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to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position aims at developing experiments using spin qubits in arrays of semiconductor
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new