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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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machine learning tools. The project involves both hardwood and coniferous species such as white oak, black walnut and shortleaf pine. The postdoc’s work, which will include field work, laboratory and data
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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environmental data to uncover the impact of early life experiences on long-term mental health. You can learn more about the Lab’s work on baby teeth on our website: www.teethforscience.com As a Postdoctoral
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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simulations. (5) Interacting with other team members on industry-sponsored projects involving combustion, turbulence, multiphase flow, machine learning and artificial intelligence, algorithm development and
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to diverse expertise and resources across leading institutions. The successful candidate will join a dynamic and collaborative research team dedicated to developing cutting-edge AI, machine learning, and
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, computer applications and modeling, geosciences, satellite and drone sensing platforms, social sciences, education, and forest biology, ecology, health, and management for sustainable and equitable rural and
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studies of Christianity in East Asian societies. We are seeking an energetic and independent researcher who has a strong background in Geographical Information System, spatial statistics, and data
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with other PRECISE facilities, potentially supported by analog field work or analysis of planetary remote sensing data. PRECISE provides a unique suite of 13 analytical laboratories enabling a wide range