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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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neutrality, conserving our planet’s limited resources, and driving the sustainable transformation of our economy. Our group "Material Modelling" uses modern numerical methods to theoretically address a wide
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numerous seminars and opportunities to interact with internationally renowned scientists. The study of sexual selection has become one of the most influential, but also most debated fields in evolutionary
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pressure and temperature levels; - Validate the numerical model of the complete system by comparison with experimental data; - Identify improvement strategies for performance and system robustness. Work
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on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based methods in
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to starting the post. Expert knowledge of gravitation. This should include one or more of the following: gravitational-wave modelling or data analysis, black hole perturbations, mathematical or numerical
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numerical modeling - Scientific writing (reports, articles) - Ability to lead meetings and ensure quality of tools and results Knowledge: - Data collection, analysis, and processing - English proficiency (B2
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to explore and validate new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms
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on the integration of fuel cell systems in distributed energy systems, addressing both technical and economic aspects of their operation, especially under new business models and grid interaction scenarios in Spain
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and assembly) (3) the study of their structure and their properties and (4) analytical and numerical modeling. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-048