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at scale. By integrating AI-driven image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. You will be of a
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Position Description Department of Food Science Postdoctoral Associate The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second
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enthusiastic about incorporating AI-based and data-driven methods to extract new insights from Earth Observation data. We are particularly interested in candidates working on land-oriented applications such as
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applications. Research activities may involve geophysical forward modeling, AI-driven geophysical inversion, seismic monitoring and imaging, scientific machine learning, depending on the specific research focus
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and will be expected to contribute to a safe, collaborative, and results-oriented research environment. The work will emphasize process engineering, experimental systems, and data-driven evaluation
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Postdoctoral Associate - Animal Science The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
that have guided generations, then share our discoveries to inspire generations to come. Your mission — your opportunity — is to seek out the answers that bring us one step closer. If you’re driven
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National Laboratory's National Synchrotron Light Source II (NSLS-II) seeks a Postdoctoral Research Associate for AI-driven Lab Automation for Life Sciences for an on-site position in the Biological
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technologies, including drones, robotics, and self-driven laboratories. The appointees will engage in research on the development of intelligent hybrid power architectures to support autonomous operation in