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Field
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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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this thesis, the student will interact with researchers from these three teams, as well as with another doctoral student and two post-doctoral fellows also recruited via JET2SB. The doctoral student will
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qu'avec un.e autre doctorant.e et deux post-doctorant.e.s également recruté.e.s via JET2SB. Le.a doctorant.e fera donc partie d'un effort de recherche particulièrement dynamique. Dans le cadre du projet
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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imaging is welcome but not required. The candidate is expected to work independently for the design and realization of experiments. Where to apply E-mail xavier.nicol@cnrs.fr Requirements Research
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City TOULOUSE Website http://www.laas.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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property simulations of ammonia–hydrogen mixtures. It will leverage multiphysics Direct Numerical Simulations (DNS) with detailed chemical kinetics and coupled thermal radiation to improve chemical
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, around a hundred PhD students and almost as many other staff such as master's students, post-docs and visiting professors, G2Elab is a major player in these fields at national and international level, at
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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