Sort by
Refine Your Search
-
. Possible Activities: The selected candidates will work on Develop novel estimation frameworks for inferring latent risk, ambiguity, and proficiency parameters of other agents in cooperative multi-agent
-
for the calculation of the importance of systems, structures, and components—and, more generally, of parameters or variables—in the modeling of complex technological assets, by leveraging modern computer simulations
-
/ ) – an European network of excellence in AI, Machine Learning (ML) and Computer Vision (CV), of which Vittorio is a Fellow member. For this particular position, the focus is on investigating AI approaches
-
– DeepEruptive: AI for eruptive parameter estimations (petrology + CFD + tephra maps) Host/PhD: Sorbonne University (France) | Supervisor: Prof. Paola Cinnella Secondments: INGV (Italy); Ainoudo (France) DC9