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Education and research background PhD in Economics, environmental economics and/or applied microeconometrics. Previous work in fisheries economics or related domains is desirable, but not mandatory Technical
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, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active
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- Conduct remote sensing analyses and spatial modeling of grassland ecosystems - Supervise water sampling and organize field logistics in collaboration with students and partners - Integrate ecological data
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, such as spatial modeling and analysis, transport and port environments, health and risks, Information and Communication Technologies (ICT), and socio-territorial restructuring. Its identity is associated
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is required. Experience in omic approaches,single cell RNA-seq technologies, spatial transcriptomics, spatial proteomics and microscopy would be an asset. Applicants should hold a PhD degree in
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skills and be rigorous and organized in his/her work. Experience in molecular/cellular biology and murine models is required. Experience in omic approaches,single cell RNA-seq technologies, spatial
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the signals indicating transient but slow deformations (slow earthquakes, co- and post-seismic deformations). 1. Use spatial coherence and advanced methods (PCA...) to separate the numerous low
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and Radiative Transfer models already developed as part of the ANR AGN_MELBa work. This might require running and adapting these models. Then, at a different spatial scale, the multi scale tools will be
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resolution Utilize cutting-edge techniques including microelectrode arrays, microfluidics, animal behavior and spatial transcriptomics under infectious conditions Bridge hamster and human biology to find common
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput