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seabed sensing research project focused on characterizing the upper-layer geoacoustic properties of deep-water seafloors. The position will support research involving acoustic sensing technologies, data
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 16 days ago
-series. Experience exploring machine learning and deep learning techniques for geospatial applications is highly desirable to effectively engage with Earth observation foundation models. Technical
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(e.g., deep neural networks, surrogate modeling, reinforcement learning, scientific AI). Willingness to work on interdisciplinary problems at the intersection of AI, control, and physical sciences
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various concepts in welding and related mechanical engineering processes and cleaning existing datasets. Creating deep learning models. Using deep learning to create a robust model that predicts welding
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-scale human datasets. You will: - Build and apply machine learning and deep learning models to multi-scale (cells, brains, patients), multi-modal (omics, biosensor data, vision, electronic health data
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Position Details Position Information Job Title Postdoctoral Scholar Position Number THCAS-DEEP-PDS-FALL26 Vacancy Open to All Candidates Department AAH Earth Environment and Planning Department
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches
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/Administrative Internal Number: 7319007 University of California Irvine Postdoctoral Researcher/Lab Scientist Deep Phenotyping Position overview Salary range: The salary range for this position is $66,737-$82,836
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activities. This is an exciting opportunity to work within a collaborative group with deep expertise in silicon detectors, Trigger/DAQ (TDAQ) systems, software, and computing. The Argonne ATLAS group plays a