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Field
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develop transformative therapies for glioblastoma (GBM) by understanding the disease on its own biological terms, within the complex context of the human central nervous system. We are entering an exciting
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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functions, variational techniques, and complex analysis. The postdoctoral scholar will join Prof. Adham Naji's research program at Santa Clara. Prof. Naji moved from Stanford University/SLAC National
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have a passion for applying computational techniques to solve complex problems across disciplines. Compensation and Benefits: Competitive Salary: Funding is available for a competitive salary, based on
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to inform drug development and clinical pharmacology in cancer, vaccines, infectious diseases, nanomedicine, and drug delivery systems. Led by Dr. Prashant Dogra, a computational medicine scientist with
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, a computational medicine scientist with expertise in mechanistic modeling and quantitative pharmacology, the lab is building innovative tools to accelerate clinical translation and support drug
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 14 hours ago
maintain complex experimental or computational facilities Ability to quickly understand new ideas, techniques and procedures Significant knowledge of the research area under study Ability to support the
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About the Opportunity SUMMARY The Network Science Institute (NetSI) is hiring one Postdoctoral Research Associate to join the newly formed Complexity & Society Lab (the “&-Lab”). The &-Lab is an
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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data utilization Complex problem solving and critical thinking Resource management and writing skills Sufficient knowledge of program study area. Strong sense of initiative, passion for the research area