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Field
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from ground or space. The work will consist of continuing to test and process data for inferring information on non-homogeneous aerosol model in the GRASP retrieval algorithm in order to improve
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turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is
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, interpretability, and data efficiency at their core. This is what you will do As a postdoctoral researcher in robot world models, you will develop compositional, physics-grounded digital twins that enable robots
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magnetospheric physics, focusing on Mercury's ion dynamics. Its primary goal is to enhance our understanding of the role the planetary ions play within this environment by examining their composition, life cycle
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doing (cell state level). This technology will be a game changer for understanding the microbiome. It's like creating detailed maps of healthy and diseased microbiomes, revealing not only the composition
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gas compositions. They will apply and develop models to account for the observed gas distribution in the context of East African Rift geological system. The postholder will also be responsible
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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vitro cell assays,and biofilm studies. Experience in working with microbial pathogens and characterizing polymer-bacteria interactions is essential.Familiarity with in vivo animal models for infection and