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Position Details Position Information Internal Posting? Posting Number SP004690P Position Title Postdoctoral Research Associates, Statistical and Computational Modeling Division/College University
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is to develop computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application. Education and Experience: Applicants must have recently completed a
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of singularities, optimal control, and applications to macroscopic models of traffic flow. Teaching may be required. Education and Experience: Applicants must have recently completed a Ph.D. and have exceptional
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distinguished scientific tradition in pure and applied mathematics and statistics. Since its foundation in 1830, it has established a reputation as a world-leading centre for the research and study of mathematics
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The School of Mathematics and Statistics of the University of Sydney is one of the largest in Australia. It has 64 continuing academic staff to supervise research and teaching, 51 fixed term staff and postdocs
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platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are hiring a Research Assistant
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with professionals and community partners; and supervising students and research assistants. The role will include designing and implementing educational or outreach programs with digital technology
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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Faculty of Biological and Environmental Sciences, University of Helsinki We are looking for a highly motivated postdoctoral researcher to develop statistical models and analyses to combine theoretical
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation