Sort by
Refine Your Search
-
conceptual DFT (linear response function, Fukui functions) or QTAIM theory (delocalization index), and their validation on a set of compounds known from the literature - interfacing a MLIP (Machine-Learned
-
Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected
-
of natural selection. In this project, we are therefore interested in prebiotic chemical systems, with the prism of classical theories in ecology and evolution (ecological interactions, invasion dynamics, non
-
. This still largely unexplored field offers promising prospects. The successful candidate will have the opportunity to join the international scientific collaboration Virgo and work on the latest data from
-
of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
-
. Amongst its features, it enables joint fits of heterogeneous data sets, e.g. from different event types, from different gamma-ray instruments. Some work have also demonstrated that multi-wavelength (from
-
by the Ricci curvature of the growth metric [1]. A central part of the post-doctoral work will be to explore this formulation in depth: to determine how incompatibility is correctly integrated
-
) forms, Iwasawa theory, algebraic cycles, Shimura varieties, p-adic Hodge theory.. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR822-SOPRIB-008/Default.aspx Work Location(s
-
details https://emploi.cnrs.fr/Offres/CDD/UMR5152-CARMEJ-002/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire de physique théoriqueCountryFranceCityTOULOUSEGeofield
-
at the Institut de Neurosciences de la Timone (INT), a CNRS / Aix-Marseille University laboratory on the Timone campus in Marseille. You will work in the team of Dr Bruno Giordano. The NASCE project combines