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. Experimental characterization of Hall effect thrusters using combination of diagnostic techniques such as optical emission and absorption, Langmuir probes, etc. enhanced by the application of machine learning
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, IINS is one of the major players in the neuroscience community in Aquitaine. Purification and cellular and molecular analysis of two neuronal substructures in mice. Activities: Preparation of biological
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SICAL team at LIRIS, recognised for its expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. They will
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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laboratory is organized into four research groups: - MSC Group: Composite Materials and Structures - SUMO Group: Surface, Machining, Materials, and Tools - MS2M Group: Modeling of Mechanical Systems and
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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correlations or more innovative methods of multivariate analysis and we anticipate here an opportunity of using machine learning that could help in predicting properties or classifying sources. A last step will
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
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parameters to identify regimes that ensure both flame stability and low pollutant emissions. Machine learning techniques have recently shown promise for Design of Experiments (DoE) and interpretation of large
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years