11 computer-networks Postdoctoral research jobs at University of Washington in United-States
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong
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students. DiRAC leads the construction of Rubin Observatory’s time domain and solar system processing pipelines, is a founding Hub of LINCC, the LSST Interdisciplinary Network for Computing and Collaboration
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consortium involvement in the Undiagnosed Diseases Network, Genomic Information Commons, and the Impact of Genomic Variation on Function. We are seeking a skill set in cell culture experiments, including
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment
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, multimodal transportation systems, network modeling, etc. Duties will include conducting original research, disseminating research findings, supervising undergraduate research students, managing projects
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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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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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in human stem cells, and quantitative fluorescence microscopy. Our projects aim to elucidate the emergent architectures and modes of force production of cytoskeletal networks and their adaptation
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, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong quantitative skills Proficiency with statistics
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, particularly in the areas of the actin cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis