MSCI

Fluid mechanics and granular matter
Equations and models are presented in a continuum setting, and then approximated in time and space. Then, the efficient numerical resolution is addressed with some examples of practical applications.
Geometric learning for drug design
LJK, Grenoble
Geophysical imaging
In the current context of energy transition and fight against global warming, a precise knowledge of the crust, down to several km depth, has become a critical issue.
GPU Computing
In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics.
Handling uncertainties in (large-scale) numerical models
Numerical simulation is ubiquitous in today’s world. Initially confined to well-mastered physical problems, it has spread to all fields (oceanography, biology, ecology, etc.), the aim being to make forecasts of the systems under study.
High-performance computing for seismic modeling with the SEM46 development
LJK, Grenoble
High-Performance Computing with Ocean Simulations
LJK, Grenoble
Hybrid particle methods for the continuum simulation of granular material
LJK, INRIA
Image localisation of shapes and construction of a dynamical data base
LJK, Grenoble
Ingénieur en biostatistique / bioinformatique H/F
AMAP, Montpellier
Last updated on Jan 1, 0001