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Field
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at the molecular level. Our experts in various platform technologies, such as: radiochemistry, nanotechnology, polymer, synthetic chemistry, optical imaging, medical physics, antibody, biology, engineering, and
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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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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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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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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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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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