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-omic, multi-context gene regulatory networks (GRNs) from large-scale single-cell datasets. We are pioneers in GRN reconstruction from single-cell multi-omics, including: Causal GRNs from Perturb-seq
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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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of Nevada, Reno (UNR) invites applications for a Postdoctoral Position: Supply Chain Modeling for Water Networks and Lithium Supply Chains. We are seeking a dedicated and innovative postdoctoral researcher
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to join our research team focused on the development and implementation to build a Long Range (LoRa) network system tailored for agricultural applications and conducting experiments in our 45-acre
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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conducting qualitative network analyses of the connections between land use, water quantity and quality, marine food webs and species, governance, and ecological, social and economic system dynamics and
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on "Canalization and Other Design Principles of Gene Regulatory Network Models" (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2451973 ) and "A mathematical theory for the biological concept of modularity” (https
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Summary Research in the Ichinose Lab is in the field of vision and neuroscience. They use the mouse retina as a model system to investigate neural networks and physiological functions and have the
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combining bibliometric data of coauthor publications to analyze networks of coauthors and their geographic locations. Then, the research team will present findings from both interviews and bibliometric