Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. The MATICE group investigates the evolution of the physicochemical and structural properties of materials used in the nuclear industry under extreme conditions, particularly high temperatures and irradiation
-
products, as well as complex silicates such as chernobylite (U,Zr)SiO4, identified in materials from the Chernobyl accident. Knowledge of these phases, their stability, and their evolution upon contact with
-
fracture and stress field in realistic three-dimensional geometries. Our research group has been working toward such a model by developing the Elmer/Ice finite element code, which includes most
-
Toulouse, who developed a tool called BibHélioTech, which serves a precursor to this thesis's research. International collaborations are also possible, particularly with the NASA/ADS (Astrophysics Data
-
reference) in synchrony with articulation. In parallel, a line of study dedicated to gesture-to-sound-mapping has developed advanced Mapping-by-Demonstration techniques, a user-centred paradigm where
-
sampling methods (kick-sampling, transects), across roughly thirty sites in different contexts, ranging from human-impacted areas to core reserve zones. Contribute to developing DNA barcode reference
-
annually. The supervisor places strong emphasis on communication with and among PhD students, as well as on their professional development. Scientific, material, safety, and financial conditions: The PhD
-
synchrony with articulation. In parallel, a line of study dedicated to gesture-to-sound-mapping has developed advanced Mapping-by-Demonstration techniques, a user-centred paradigm where individuals perform
-
, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
-
production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in