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Join the M-WAVE team to develop a forward operator for land data assimilation. Job description Challenge: Understanding the climatic drivers of crop failure, monitoring crop growth and implementing
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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literature. Read literature articles, develop new ideas, and assimilate the information into his/her project design/interpretation. Dissemination of studies: Interact on a regular basis with their faculty
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research spans the following broad areas: Complex systems: Nonlinear dynamics and Data assimilation, Statistical physics, Fluid dynamics and turbulence, Condensed matter physics, Biological Physics; Space
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Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as path-flows, and other key parameters and inputs. In your role as
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focuses on hybrid traffic flow modelling such as Physics inspired Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as