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, or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should demonstrate some of the following skills: - coding in Python - Life Cycle Thinking (LCA
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controlled group experimental tasks. The candidate will participate in the design, implementation, and analysis of behavioral experiments combined with non-invasive neuroimaging measurements, with
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primarily on data analysis and on developing expertise in stochastic processes and related theoretical methods at IEMN. The second part of the project will involve the design and construction of a light-sheet
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and sub-ns timescales and conversely how magnetic switching could influence the dynamics of photoexcited states, which would bring considerable progress in the design of performing materials
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The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while
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explore strategies to preserve or restore functional hematopoiesis. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7284-EIRTRO-012/Default.aspx Requirements Research FieldBiological
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understanding of microstructure-property relationships in materials systems in the presence of different stimuli close to operational conditions. Such knowledge is crucial for designing advanced materials with
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
computation time, and a complex design. To solve these issues, we propose to follow an original approach where the robot is seen as the assembly of modular limbs, each one having its own sensors, actuators and
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is