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Field
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Scale Tissue Atlas" project. -Duties include conducting research on image processing, image alignment, and instrument design and development for the funded projects. -This project will require expertise
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, materials science and engineering, chemical engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques
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MD degree. Must have relevant background in Biological/Biomedical Sciences or related Engineering field with a specific focus in cardiology, cardiovascular diseases, and cardiac imaging. Must have
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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biology, functional genomics, and mouse engineering approaches to understand how cancer cells communicate with their neighbors, or the stromal cells, in the metastatic cascade. Our lab also applies
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Experimental Solid Mechanics Laboratory. This position offers a unique opportunity to conduct cutting-edge research at the intersection of materials science, mechanical engineering, and applied physics
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diseases including coarctation of the aorta. This work will involve processing of medical image data, creation of idealized and subject-specific computational models, and/or implementation of a computational
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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control. Our laboratory is also part of the Optical Imaging and Brain Sciences, Medical Discovery Team initiative, providing us with access to substantial internally-funded resources for optical engineering
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image