31 parallel-computing-numerical-methods Postdoctoral positions at The University of Arizona
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                Sign In Create Profile Postdoctoral Research Associate, Electrical and Computer Engineering Tucson, AZ, United States | req24051 Apply Now Share Save Job Posted on: 10/6/2025 Back to Search 
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                Sign In Create Profile Postdoctoral Research Associate, Electrical and Computer Engineering Tucson, AZ, United States | req24106 Apply Now Share Save Job Posted on: 10/6/2025 Back to Search 
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                (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 MRI method 
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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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                -related folding is a strong asset, along with experience in fractured hydrocarbon reservoirs. Experience in other structural modeling techniques and software (numerical discrete element method 
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                ) spectrometers, and they have been subjects of numerous dryland empirical, remote sensing, and modeling studies. The postdoc will be joining a collaborative team but will also have plenty of freedom to develop 
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                any of the following areas is desirable Collection and analysis of dense nodal seismic datasets Numerical simulations of the seismic wavefield High-performance computing Machine learning applications in 
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                , etc.). Leveraging computational geometry methods for advanced manufacturing applications. Advancing topology optimization methods for lightweight and high-performance designs. Collaborating with faculty 
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                capable of research combining experimental characterization with computational modeling of process--structure--property of structural alloys (aluminum, steels, superalloys). Desired qualifications include 
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                -generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials, or device fabrication and