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Field
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name -- RICE -- Responsibility, Integrity, Community and Excellence. Position
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and processing strategies aimed at achieving high performance, cost-effectiveness, and manufacturability. The selected candidate will leverage the capabilities of the Materials Engineering Research
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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engineering tools to develop risk-consistent design criteria for future infrastructure resilience. Reasonable duties will include documenting research processes, preparing manuscripts, assisting in reporting
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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, interdisciplinary team that uses cell biology, protein engineering, biochemistry, human immunology and molecular biology techniques to understand lysosomal dysfunction in rare genetic disorders. The successful
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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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