-
provide unsteady propulsive and lifting forces, or harvest flow energy. The postdoctoral researcher will have to conduct the optimization with constraints applied to the circulation value and dynamic stall
-
early-career researcher in applied mathematics, physics, or engineering, with expertise in fluid mechanics1, non-Newtonian fluids, numerical methods, and scientific computing2. Background or strong
-
for industry and life. Research field presentation : The Lattice Boltzmann method (LBM) is gaining increasing interest in Computational Fluid Dynamics. While traditional methods rely on a discretization of the
-
water and likely to harbor a liquid ocean beneath their icy crust. The internal dynamics of these systems remain largely unknown, particularly the main sources of oceanic and heat movements, and the
-
for industry and life. Research field presentation : The Lattice Boltzmann method (LBM) is gaining increasing interest in Computational Fluid Dynamics. While traditional methods rely on a discretization of the
-
molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
-
observation of the geomagnetic field from space on the one hand, and of advanced numerical simulations of the geodynamo on the other hand, have opened new avenues for our understanding of the dynamics at play
-
terms of its source, the Ricci curvature. [2] Alexander Erlich, Jocelyn Étienne, Jonathan Fouchard, and Tom Wyatt. “How dynamic prestress governs the shape of living systems, from the subcellular
-
Eligibility criteria The candidate (M/F) must hold a PhD thesis and at least 2 or 3 years of post-doc experience in the domain of rheology, fluid mechanics, physics and chemistry, soft matter and/or processes
-
” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a