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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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the Project Leader to develop reading tasks, exercises, other teaching & learning instructional resources, and reading materials in accordance with the primary and secondary education reading proficiency
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
observation and molecular therapy. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative
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research project on the development and widespread implementation of a telerehabilitation platform using AI. Involve in the development, implementation of the platform, as well as integration with multi
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) We now invite applications for the captioned post. Duties and Responsibilities Assist in a collaborative research project on the development and widespread implementation of a telerehabilitation
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advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data to provide recommendations for system design and