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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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proficient in working with large data-sets (observational or numerical), machine learning, and running/analyzing numerical simulations. The initial appointment will be for two years at Rutgers University
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solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing efficient techniques that maintain robust privacy
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models (e.g., iPSC, organoids, microfluidics) Bioinformatics, ‘omics, big data, molecular genomics/CRISPR/epigenomics Behavioral science, biobehavioral, psychosocial, translational, implementation science
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, Jonathan Feng, Manoj Kaplinghat, Shirley Li, Arvind Rajaraman, Michael Ratz, Yuri Shirman, and Tim Tait. The group is complemented by large and diverse experimental particle physics and astrophysics groups
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of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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large B cell lymphoma. The research will involve biological mechanistic studies, as well as drug discovery approaches that include AI-guided drug design, assay development and automation, Live Cell
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transport in urban river systems. This project addresses the growing need for sustainable stormwater solutions by integrating cutting-edge AI technology, real-time monitoring, and data from engineering
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% Research Conduct research related to specific externally funded projects, including collecting and analyzing data, troubleshooting challenges, and assisting graduate and undergraduate students on the project