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Classification Title: Postdoctoral Associate Classification Minimum Requirements: A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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Princeton University's Program on Science and Global Security (SGS), based in the School of Public and International Affairs, is seeking a postdoctoral research associate to advance our work
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Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT
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Professor Lei Xie seek to hire Postdoctoral Research Associates to train in and oversee in interdisciplinary projects involving AI algorithm development, physiologically based pharmacokinetics, computational
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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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lead efforts to develop experimental techniques using conventional and coherent imaging in the ultrafast time domain, as well as a computational framework for modeling and reconstructing images
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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Cornell University, Information Science Position ID: Cornell -IS -POSTDOC [#29666] Position Title: Position Location: Ithaca, New York 14850-4623, United States of America [map ] Subject Area
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Key Responsibilities: Develop and implement algorithms for multimodal image fusion, combining data from MRI, PET