12 phd-position-data-mining Postdoctoral positions at University of Southern California
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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The USC Roski Eye Institute, Department of Ophthalmology, is seeking a highly trained professional to fill the position of Postdoctoral Scholar – Research Associate, located on the Health Science
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The Los Angeles Cancer Surveillance Program (LACSP), the State-designated agent to collect population-based cancer incidence data in Los Angeles County, in the department of Population and Public
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, experimental studies (in vitro and in vivo), and advanced multiomics data science. We are looking for candidates with expertise or interest in environmental health, biostatistics, and data science, especially as
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to be competitive candidates for faculty positions at leading universities as well as for positions in government and industry. Postdoctoral scholars must have a doctoral degree in a relevant field
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The Application Specific Intelligent Computing (ASIC) Lab at USC’s Information Sciences Institute (USC’s ISI) invites applications for a post-doctoral position in Silicon Photonics, with a focus on
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component of the position. The fellow will have access to newly developed human laboratory research space (e.g., simulated bar, smoking rooms) for data collection for clinical and experimental studies, and
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impact; and models an effective, sustainable, and racially-just research institute. For more information about us and our projects, visit: https://dornsife.usc.edu/ERI . This postdoctoral position is
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university and a member of the "Trojan Family," which is comprised of the faculty, students, and staff that make the university what it is. A postdoctoral research position in genetic and cancer epidemiology
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online. Our new postdoc will work closely with CELDTech’s director, Brendesha Tynes, in all research and design phases including curriculum design, prototyping, interview protocols, data collection, data