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Field
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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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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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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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, psychometric analyses, and validation studies. The instructional materials will be piloted and refined through classroom implementation and instructor feedback. The project will generate new knowledge about the
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directions or modeling that could include dynamic systems modeling, spatial environmental modeling, knowledge models and knowledge representation, or a focus on alignment or AI safety related to the use of AI
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month 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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. Preferred Qualifications: Experience in publishing in peer‐reviewed scientific journals commensurate with career level. Knowledge of pangenome development. Excellent verbal and written communication skills
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command of English or German and a good command of the other language (which must be demonstrated within one year), as well as of a Slavic language or Modern Greek. Excellent knowledge of theology and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 12 days ago
-specified intermediate representation for code analysis Design and build an incremental code search engine for large repositories on top of TSQ and HyperAST Develop incremental use-def / def-use relation
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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