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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 18 days ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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digital twins and advancing data assimilation techniques for agricultural and environmental applications. You will be part of a dynamic research team applying advanced remote sensing and simulation methods
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a process called data assimilation, to arrive at the best possible description of the evolution of smoke plumes. The data assimilation will, in particular, give us better estimates of the strength
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- data assimilation towards experimental measurements under consideration of uncertainties - utilization of Explainable AI techniques to enable novel scientific discoveries - implementation of your machine
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16 Jan 2026 Job Information Organisation/Company Helmholtz Zentrum Hereon Research Field Physics Researcher Profile Other Profession Positions PhD Positions Application Deadline 27 Jan 2026 - 23:59
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | about 2 months ago
) is a joint laboratory combining the Ponts ParisTech school and EDF R&D. It studies the physico-chemical processes of air pollution and of the atmospheric boundary layer as well as data assimilation and