-
and SBI methodology. Developing fast simulations of the LSS observables, in particular data from spectroscopic galaxy surveys and CMB lensing and the inference machinery, building on and extending
-
at the Laboratoire de Physique de l'ENS, within Team 23, Materials for Energy from Advanced Modeling, in a strongly interdisciplinary environment at the interface between atomistic simulation, artificial intelligence
-
, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
-
supergravity solutions dual to strongly coupled gauge theories in 4 dimensions. The other is to construct new coherent truncations in which to determine new solutions of interest for AdS/CFT duality. 1) Use and