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materials. Skilled oral and writing communication skills with a good record of publication and external recognition in relevant areas. Ability to model Argonne’s Core Values: Impact, Safety, Respect
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at the forefront of extreme event and other laboratory, field, and modeling efforts in the coastal region. EEI research is funded by funded by the U.S. National Science Foundation (NSF), National
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will
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mission of unlocking the “geometry of artificial intelligence” then please apply! What you will do Singular Learning Theory (SLT) is a mathematical framework for analysing statistical models that do not
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Segment Care image labels; shape active-learning loops and QC. Productionize models with PyTorch, Docker/Kubernetes, and AWS/SageMaker Prepares manuscripts for publications. Ensure all members of the lab
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Argonne National Laboratory seeks a postdoctoral researcher to help build a high-resolution coastal-urban flooding modeling capability within the Energy Exascale Earth System Model (E3SM
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faculty level investigators across the six campuses of FAU, with investigations spanning the full continuum of brain science from molecules to mind, including research on the nervous systems of model
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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and antibiotic alternatives Testing candidate interventions using in vitro and in vivo challenge models to assess pathogen colonization and host immune function The postdoctoral fellow will work closely
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–pathogen interaction models, immunological assays (including cytokine analysis, flow cytometry, ELISA, Western blotting, and immune signaling analysis), and/or omics-based methodologies (such as