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Field
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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to apply. The successful candidate will contribute to the development of next-generation AI methods for geophysical imaging and monitoring, advancing both fundamental Earth science and engineering
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) works at the intersection of molecular engineering, genomics, and computational biology, and develops precision medicine technologies, several already in clinical use, for infectious, immune, and
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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Intensive Social Sciences Center and the Yale Center for Research Computing will be leveraged to ensure access to a broad and deep internal network. By the end of this appointment, the post-doctoral associate
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, reaching, talking, and hearing. Lifting to 25lbs. Computer work. Work Environment: Open office environment, laboratory environment with human research data collection. Overview Statement Posting Details
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, Computational Biology, or a related scientific discipline, or expected completion before the start date. Demonstrated research productivity through first-author publications, submitted manuscripts, or comparable
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Posting Details Position Details Title Postdoctoral - Neurological Surgery (Naikui Liu Lab) Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Neurological Surgery Campus IU