Phd propositions

The LJK teams present phd propositions:

Applied Mathematics

Stochastic and variational approaches to sensitivity analysis and quantification of uncertainty - Application to an ocean circulation forecast system.

Semiparametric spatial estimation using copulas

Curvature measures and applications

Generative programming and components architecture: application to partial differential equations solves and real time simulations on classical and hybrid architectures

A journey in an animated procedural volume

Informatics and Applied Mathematics

Analysis of multi-agent dynamical systems

Bayesian Model-based clustering for Magnetic Resonance brain scan functional data