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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems
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command of scientific English (both written and spoken) is required for writing publications and communicating results. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR3224-ANNMIC
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integrating new generative models into RL-EDA, such as Generative Flow Networks (GFlowNets [Bengio et al., 2021]) or diffusion models [Lou et al., 2024]. Where to apply Website https://recrutement.univ
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its MIMENTO facility part of the national Renatech network. The fabrication will start from the design of masks, fabrication itself and will also cover all steps required to control whether
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. They will work on one of the new projects starting in the Unit, including i) analysing
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, robot control, unconventional cameras, humanoid robotics Skills: formalization of geometric and photometric image models, neural network training, software development, hardware installation, oral and
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of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and