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USNH Employees should apply within Workday through the Jobs Hub app The Center for Coastal and Ocean Mapping at the University of New Hampshire (UNH) seeks a Postdoctoral Research Associate for a
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-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative models, and applications in reactions, catalysis, and spectroscopy. Coordinate with
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Postdoctoral Associate Cornell Lab of Ornithology College of Agriculture & Life Sciences Cornell University Ithaca NY The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose
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, Pharmacogenomics, and AI/Machine Learning Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 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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Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated working experience
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for predictive biology. Demonstrated experience adapting large pretrained deep learning models to downstream scientific applications, including fine-tuning, parameter-efficient methods, model probing, or retrieval