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); - CO2 adsorption and catalytic testing, both at laboratory scale and using a semi-industrial pilot unit; - correlation of material properties with measured performance, post-test characterization, and
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order to accelerate research, evaluation, and performance validation. The PhD candidate will be affiliated with the LIRIS laboratory and will work within an academic and industrial consortium bringing
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order to accelerate research, evaluation, and performance validation. The PhD candidate will be affiliated with the LIRIS laboratory and will work within an academic and industrial consortium bringing
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interactions with academic and industrial partners. Main activities: • Develop constitutive models for granular media using physics-informed Machine Learning — high responsibility • Implement a coupled
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proposed technology against conventional CO₂ capture processes. • Investigate potential CO₂ utilization and storage pathways and their implications for overall process performance. • Disseminate research
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asymmetries spontaneously generate magnetic fields that are further amplified during compression and play a critical role in stagnation phase dynamics, directly impacting fusion target performance
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applications**, exploiting the performance of REFIMEVE's photonic and metrological systems. The project brings together French and European academic and industrial partners, notably within the framework of the
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, 2024) as well as other methods to collect qualitative and quantitative data to maximize user engagement with the system, so that the combined performance of the user and the system exceeds that of
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on polariton quantum fluids. Design and theoretical modelling of nonlinear polariton networks for quantum sensing — Main duty / High level of responsibility Experimental implementation and optical
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, directed by Prof. Marc-Emmanuel Dumas in Lille, France. The successful candidate will be responsible for developing and implementing innovative chemoinformatic and chemometric workflows for high