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Research axis of the 3IA: Axis 3 - AI for Computational Biology and Bio-inspired AI Supervisor (3IA Chair): Emanuele Natale, Sophia Antipolis Laboratory for Computer Science, Signals and Systems
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) Established Researcher (R3) Country France Application Deadline 30 Dec 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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of programming, learning theory, parallel algorithms or quantum computing Research publications in theoretical computer science conferences and journals Experience in teaching Computer Science topics
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The American University of Paris invites applications for a full-time position in the Department of Computer Science, Mathematics and Environmental Science at the rank of Assistant Professor
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25 Aug 2025 Job Information Organisation/Company The American University of Paris Department Computer Science, Mathematics and Environmental Scienece Research Field Computer science Researcher
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(NPPs). In the framework of seismic PRA, numerous dynamic time history analyses have to be performed to asses fragility of structures and components. The huge computational cost of high-fidelity
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 21 days ago
We welcome candidates with a master (or equivalent title) in computer science, experience with parallel programming, distributed data processing, deep learning or numerical solvers. Expected
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: - PhD in mechanical engineering, materials science or physics. - Good notions of heat & mass transfer, fluid dynamics, numerical methods. - Experience in numerical modeling (finite volume method
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Supérieure (LPENS) in Paris, while theory and numerical modeling will be carried out by CELIA and ILM. The necessary high-performance computing (HPC) resources will be made available as part of the project
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to the use of biobased materials in mix-design - numerical modelling of processing steps during the extrusion and selective methods -development of innovative reinforcement adapted to the additive