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this position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative
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this position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative
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position is to work on active projects to generate data for publications and to also generate data for external funding. The prospective candidate should be willing to work in a collaborative environment
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through cutting-edge bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research
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mediating HIV -1 nuclear entry and subsequent downstream process that leads to productive viral gene integration. The goal of this position is to work on active projects to generate data for
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include: artificial intelligence (AI) governance, Big Data, cybersecurity, data governance, knowledge commons, critical infrastructure protection, and smart cities. The post doc fellow will work under
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, implementation research, and secondary data analysis. Opportunities exist to develop and lead new projects in this topic area and to contribute to grant development. The postdoctoral fellow will contribute to
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environmental virology, UV disinfection engineering, aerosol science, surface science, and data-driven modeling to address HPAI transmission via air, water, and surfaces. The successful applicant will be expected
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procedures. Coordinate laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and
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biological questions, advancing deep learning models, or other topics discussed with the PI. We use publicly available and simulated genomic data. Core job duties include: (1) Building computational