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representation language. The thesis will particularly investigate approaches based on attributed graphs to model infrastructures, their topological relationships, inspection-derived observations, and the levels
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be paid to the relationships between the energy source (UV or EB), conversion, network structure and final properties. The work will focus primarily on the study of model polymerisable formulations
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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recognized as one of the leading international experts in theoretical and numerical ocean modelling. Florian Lemarié is an expert in the application of mathematics to ocean modelling. The PhD project will also
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. The results obtained will be used to derive kinetic parameters of reactivity. The work program includes: i) the fabrication of micro-models of increasing complexity, ranging from model porous media to natural
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. The work plan includes: (i) the fabrication of micro-models of increasing complexity; (ii) the functionalization of these micro-models to achieve surface properties that aim to bacterial adhesion and mineral
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
phenomena. New meta-model architectures based on learning may be proposed and tested on complex EDF use cases. However, this is not sufficient: can such a surrogate, learned from simulation data, predict
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microgrids integrating intermittent renewable energy sources (solar, wind), storage systems (batteries, hydrogen), power electronic converters, and controllable loads. These complex cyber-physical
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macrophages toward a pro-inflammatory, anti-leukemic state. The work will combine human monocyte-derived macrophage models, leukemia-conditioned macrophages, primary AML patient samples, chemical biology
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology