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hypothesis is that seismicity serves as an observable proxy for the coupled processes linking deformation, permeability evolution, fluid circulation, and hydrogen generation. The strategy consists
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the potential to significantly advance embedded neuromorphic processing for real-time BCI applications. Tasks of the PhD Candidate The PhD candidate will be responsible for designing innovative methodologies
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. This large multimodal dataset allows us to estimate and test different computational models of the decision and learning processes. One postdoc is currently working on the MEG and iEEG data, and one PhD
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) Positions PhD Positions Application Deadline 15 Sep 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU
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place at the Institute of Physics and Chemistry of Materials of Strasbourg (IPCMS, UMR 7504), an excellent joint research unit under the co-supervision of the CNRS and the University of Strasbourg. The future PhD student
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with the project partners…). - Team work - Rigor, organization and autonomy - Master the numerical tools and image processing softwares. Please provide a CV, motivations, available marks obtained in
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | about 2 months ago
skills (Microsoft office, image editors); Background and expertise in the field of PhD topic; Personal skills: High motivation, excellent interpersonal skills, good time and stress management, excellent
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. The doctoral candidate will be enrolled in the PHENIICS Doctoral School (Physics: Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos, and Simulation) at Université Paris-Saclay. This doctoral school
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for the heliophysics component, and LISN in Orsay for the computer science and natural language processing component. Status meetings every two weeks, alternately at LIRA in Meudon and at LISN in Orsay. The PhD thesis
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Context Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding. However, modern deep learning models remain critically dependent