43 parallel-computing-numerical-methods Postdoctoral positions at The University of Arizona
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Sign In Create Profile Postdoctoral Research Associate, Environmental Policy Program Tucson, AZ, United States | req27041 Apply Now Share Save Job Posted on: 9/11/2026 Back to Search Postdoctoral
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Sign In Create Profile Postdoctoral Research Associate, Arizona Telemedicine Program Tucson, AZ, United States | req26712 Apply Now Share Save Job Posted on: 8/5/2026 Back to Search Postdoctoral
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computing environments and scientific programming (e.g., C/C++, Fortran, or Python). Preferred Qualifications Prior research experience in numerical relativity, including familiarity with established
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genetics. This position offers hands-on training in state-of-the-art experimental and computational methods, including single-cell genomics, chromatin profiling, quantitative trait locus (QTL) mapping, and
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resonance imaging (qMRI) methods and applying these techniques to clinically relevant problems. Interested candidates are encouraged to apply and will join an active team focused on cutting-edge quantitative
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appropriate statistical and computational methods. Prepare manuscripts, presentations, fellowship applications, and contributions to research proposals. Collaborate across engineering, cancer biology, and
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or computational problems. Knowledge of nonlinear dynamical systems, control theory, network dynamics, state-space methods, system identification, stochastic processes, or related quantitative approaches. Ability
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genetics. This position offers hands-on training in state-of-the-art experimental and computational methods, including single-cell genomics, chromatin profiling, quantitative trait locus (QTL) mapping, and
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methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required. Interpret and summarize
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genus Dracaena. The project foresees to establish a reference genome assembly for one focal species, followed by using phylogenomics methods to establish relationships between taxa. Additional analyses