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accuracy in link-tracing designs (e.g. Respondent driven sampling) Partial graph data collection strategies for networks (e.g. Aggregated Relational Data) Large scale models for anomaly detection on graphs
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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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tumor progression. Specifically, we investigate how transcriptional regulators and gene networks govern immune and brain cell behavior. Our lab uses a broad array of approaches, including flow cytometry
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-content/uploads/sites/3/2020/01/FINAL-Postdoctoral-Scholar-Fellows.pdf This position will contribute to our collaborative group by conducting qualitative network analyses of the connections between land use
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skills, including writing, public speaking, networking, and critical evaluation of scientific literature. Presents scientific work both inside and outside the University with excellent oral communication
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on extreme heat. Under the mentorship of the PI Dr. Karen Chen, the postdoc will collaborate with the MedRIN network to disseminate findings enhancing innovation, rigor, and open access for scientific
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the emergent architectures and modes of force production of cytoskeletal networks and their adaptation to varying loads during endocytosis. We have: • An engaging, supportive, and collaborative research
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research activities. Develops proficiency in career skills, including writing, public speaking, networking, and critical evaluation of scientific literature. Presents scientific work both inside and outside
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unique interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic
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opportunity to engage with the electric propulsion and space communities through attendance at conferences, meetings, and networking events. They will receive hands-on research mentorship and professional