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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media
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24 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie physique et spatiale Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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, including reflection and photoluminescence. • Design and implement optical setups for spatially resolved and time-resolved measurements of ferroelectric behavior. • Collaborate with theorists and materials
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such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using these approaches, we previously identified an essential role
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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hydrology and social geography. Proficient in geographic information systems (GIS) and spatial data analysis. Experience in workshops organisation Good French speaking and reading capacities and good English
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geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation
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of lake environments at various spatial and temporal scales, thereby strengthening its national and international recognition in limnology. The overall objective of the research is to provide knowledge