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natural organic matter well characterized extracts (IHSS), the study will be performed on real water resources. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8516-JUSCRI-009
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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of the bubble surface presents several resonance peaks corresponding to the different mode of shape oscillations. In this project, we intend to probe the rheology of the air/water interface formed by an air
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regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
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selected candidate will investigate how aerosols influence cirrus clouds from regional to hemispheric scales. The work will involve implementing and testing different ice nucleation schemes in regional
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, meteorites, microfossils) The ANATRAC research group has acquired extensive expertise in characterizing the physicochemical properties of carbonaceous surfaces, ice, aerosols, and meteorites by developing a
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Fisheries Fund). This project aims to develop solutions adapted to Caribbean artisanal fisheries to limit the accidental capture of sea turtles through the use of acoustic deterrent systems (ADDs
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CARBON WATERS. The project is funded by the Agence Nationale de la Recherche (ANR). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-MIKBEC-031/Candidater.aspx Requirements Research
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investigated. The results will be compared to those obtained from water channel experiments and numerical simulations carried out by other participants in this project. This work is part of a collaboration
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selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel