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Field
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component (ELM) and its peatland-specific configuration (ELM-Peatlands), with a focus on improving the representation of nutrient cycling dynamics and their coupling to hydrological and ecosystem processes
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component (ELM) and its peatland-specific configuration (ELM-Peatlands), with a focus on improving the representation of nutrient cycling dynamics and their coupling to hydrological and ecosystem processes
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Description Postdoctoral research position on the ANR OrDOTime project, which aims to understand the origins, development, and specificity of ordinal representations of time. The recruited researcher will be
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a powerful and compact representation of the replication program, capturing the key regulatory role of epigenetic and genomic context (Arbona, PLoS Comput. Biol. 2023). However, the application
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representation in atmospheric prediction models. The initial appointment is for a term of one year but may be extended upon satisfactory performance and available funding. Job description: Using large-eddy
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data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes can
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personality: Successful candidates must hold a doctorate/PhD in Prehistory and Historical Archaeology or a related discipline. They must have knowledge of modern archaeology, demonstrated through relevant
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workflows into structured representations suitable for AI planning and optimization algorithms. 2) Research Leadership & Mentorship: * Abstract from the practical challenges presented by the work and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 days ago
of vegetation vulnerability and fire response. During the appointment, the participant will have the opportunity to collaborate on developing structural vegetation representations from LiDAR observations
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CRITERION) Knowledge on Chemical Sensing (MUST CRITERION) Excellent knowledge of English (C1) (MUST CRITERION) Experience in research management and in leading project staff (TARGET CRITERION) Didactic skills