Sort by
Refine Your Search
-
Category
-
Field
-
, incomplete, inconsistent, or affected by uncertainties, limiting their use for asset knowledge, infrastructure maintenance, and urban risk management. In this context, the central research question of this PhD
-
simplification. Particular attention will be paid to uncertainty quantification and to the definition of criteria that assess the contribution of each simulation to the improvement of the prediction
-
production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
-
properties of the fault zone, or processes driven by fluids and chemical reactions. The ultimate goal is to reduce uncertainty regarding the presence, geometry, and dynamics of hydrogen-generating zones, and
-
for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
-
The successful candidate will join the Climate Physics team at ENS de Lyon (https://climatephysics-ensl.fr/ ), which currently consists of 5 permanent researchers, 7 PhD students and 2 postdoctoral researchers. We
-
, cyclists, vehicles, etc.). In this case, the study will incorporate the AD system's trajectory planning module, which uses a perception system coupled with map-based localization [3]. Given the uncertainties
-
of the century, which could be further amplified by a slowdown in the Atlantic Meridional Overturning Circulation (AMOC). This PhD is part of the French-Brazilian project AMACLIM (https://www.lsce.ipsl.fr/anr
-
demonstrated ion trapping of single Yb+ ions. Optical clocks based on ultra-narrow transitions in trapped ions and neutral atoms have reached fractional uncertainties in the low 10-18 range, enabling landmark