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on the assimilation of Distributed Acoustic Sensing (DAS) data, using fiber optic cables deployed for the internet to estimate the state or parameters of complex spatiotemporal dynamics in urban environments within
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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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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
]. Reduced Order Modeling (ROM) and Data Assimilation (DA) are key tools for designing efficient monitoring solutions. In preparation for an upcoming ANR-funded project starting in 2026, we aim to develop a
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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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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In the INFLAMES consortium (https://inflames-project.github.io
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Centre National de la Recherche Scientifique (CNRS) | Saint Aubin Routot, Haute Normandie | France | 3 days 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
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-Saclay/CentraleSupélec http://em2c.centralesupelec.fr/ ), through its high-level academic research on energy and combustion and its applied studies in partnership with the most prominent companies
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physiology and nutrient assimilation. Controlled feeding experiments will trace trophic transfer into zooplankton and higher consumers, generating quantitative coefficients for ecological risk models. Finally
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₂ incubations with phytoplankton will test whether phytoplankton-derived methane is assimilated into methanotroph biomass. Together, these approaches will clarify how benthic and pelagic carbon pathways intersect
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methods for data assimilation; and graph-based multi-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas