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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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aspects of the position include chronic microelectrode implantation surgery, neural recording (electrophysiological and imaging), calcium imaging of electrically stimulated ex vivo retina, behavioral
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team environment Basic molecular biology expertise and familiarity with imaging microscopy techniques Previous experience working with animal and/or cell-based experimental models Previous first author
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days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended
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diffraction imaging modalities - topotomography, dark-field X-ray microscopy, and Bragg coherent diffraction imaging - has emerged over the past decade that can resolve 3D defect architectures and strain fields
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for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data. The fellow will be expected to develop novel
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of faceted, nonspherical granular particles. This multi-PI project integrates graph/network theory, granular mechanics, 3D X-ray diffraction and imaging, and discrete element method simulations. The successful
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that you do not need to satisfy every single criterion to apply. A strong willingness to learn is key! Track 1: Imaging & In Vivo Biology Preferred Experience: Hands-on experience with optical microscopy
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Goonewardena - whose work has appeared in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics
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in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and