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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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, manufacturing process and properties ; In-depth characterisation of the materials obtained, with a particular focus on mechanical properties, notably through tensile, flexural and dynamic mechanical analyses
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of the team and the lab, thanks to your excellent communication skills. Why Join Us? By joining IRIG, you will be part of a dynamic and innovative research environment where you have the opportunity to learn
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(including interactomics approaches), and live cell microscopy to study mitochondrial physiology. The IGDR is a dynamic institute, with 16 teams including more than 200 international researchers and staff
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, including climate change mitigation and adaptation, the fight against poverty and inequalities, biodiversity conservation, access to healthcare, and understanding social dynamics. Research questions
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-on experience with protocols for inducing whole-genome duplication (WGD) - Experience with mammalian cell culture - Ability to analyze dynamic microscopy data 2. Desired Technical Skills - Fluorescence microscopy
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optimization models for electric vehicle fleet charging planning. Activities: • Apply operations research methods (linear and mixed-integer programming, dynamic optimization, stochastic optimization) • Integrate
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-precision dynamic biomechanical tests. Improve actuation control (speed, smoothness, accuracy). Synchronize with advanced imaging systems (micro-CT, OCT, multiphoton microscopy, SEM). Develop customized
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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and water content. Statistical analyses of satellite data describing forest dynamics, and their correlation with pre-defined climatic indicators for the dry season. The Institut des Géosciences de