Offres de stage et propositions de thèse
Learning active matter

Domaines
Condensed matter
Statistical physics
Biophysics
Soft matter
Nonequilibrium statistical physics
Physics of living systems
Non-equilibrium Statistical Physics
Kinetic theory ; Diffusion ; Long-range interacting systems
Hydrodynamics/Turbulence/Fluid mechanics

Type de stage
Théorique, numérique
Description
You will focus on applying techniques to learn minimal models that describe active systems from data. This internship is planned as a well-defined entry point in the subject and can naturally be continued in a Ph.D. on active matter performing both numerical and analytical work. The skills required are a Master-level training in theoretical and statistical physics; no previous knowledge of active matter or biophysics is required.

Contact
Cesare Nardini
Laboratoire : SPEC - UMR 3680
Equipe : SPHYNX
Site Web de l'équipe
/ Thèse :    Rémunération :