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on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system
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PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks
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Brigham and Women's Hospital - Department of Dermatology | Boston, Massachusetts | United States | 2 months ago
graft-versus-host disease. Research is translational and aims to directly impact patient care. We work with both human specimens (retrospective and prospective) and novel mouse models of disease including
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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of nationwide health, healthcare and sociodemographic data from Finland and other Nordic countries, utilising advanced longitudinal modelling and causal inference approaches. The key duties and responsibilities
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position focused on advancing crop production and physiology through field experimentation, computation (statistics and machine learning), and process-based models. The successful candidate will have an
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system-level experimental validation of fabricated prototypes. A strong drive for innovation is essential, as the work will push the boundaries of current photonic technologies and computing models
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
activities. Current capabilities include the Fourier Transform Ultraviolet Spectrometer (FTUVS), which measures column abundances of OH, and the Medium-resolution Ultraviolet Grating Spectrograph (MUGS), which
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functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and