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of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key goals include optimising convective heat transfer
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research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent and non-permanent), with 3 tutelles, hosted by the CNRS and in total ZRR
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The recruited agent will take part in
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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key
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field. The person will be supervised by Dr. Alain Wagner of the CBF team, which focuses on the characterization, modification, and design of new therapeutic agents with well-defined oncological properties
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of an external magnetic field into the phase-field model and to simulate the microstructural evolution for different cooling rates. - Phase-field modeling of the phase transition in the Fe-Ni alloy. The selected
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methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology of melting of exoplanetary mantles, and the partitioning
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prerequisite (i.e., familiarity with linux, bash, conda, python). Experience in molecular dynamics simulation, protein chemistry or phylogenetics would be major assets. An interest in developing wet lab skills
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researchers addressing complementary topics and methodology such as Thermodynamic modelling of multi-component planetary degassing/ingassing, Molecular Dynamic simulations of silicate melts, Petrology