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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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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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, 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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data, such as hospitalization data or electronic medical records is a plus. Collegiality, resourcefulness, and motivation are essential for success. Application instructions. Submit a statement of
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complex research projects under the direction of a supervisor. May or may not work independently. Analyzes research data and provides interpretations. Contributes to the development of research
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, actionable research to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous
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will also have opportunities for leadership roles in data analysis and manuscript writing, and will act in a leadership capacity for junior trainees. Training in grant writing can be incorporated as a
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researcher will work directly with Dr. Fei Chen on analyzing data from genetic association studies, which includes GWAS and/or sequencing data from large-scale genetics consortia such as the RESPOND Study, UK
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to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous research to inform
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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