26 parallel-processing Postdoctoral positions at The University of Arizona in Ireland-University-Ranking-2024
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to candidates having a strong record in developing novel computational strategies to solve complex physics problems with relevant experience in nonlinear analysis of pdes and parallel computation. FLSA Exempt
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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will be viewed highly favorably. Experience with GPU acceleration or code parallelization paradigms (e.g., MPI, OpenMP, CUDA). FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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cell models. Process human or mouse tissues and isolate, culture, and characterize primary cells. Develop bioengineered tissue models using hydrogels, microfluidics, organ-on-chip technologies
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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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relocations services, please click here . Duties & Responsibilities Conduct ecological field and remote sensing studies at mining-impacted sites in the U.S. Southwest. Conduct empirical and/or process-based
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the University. Perform protein expression in mammalian cells. Purify membrane proteins from mammalian cells. Collect and process cryo-EM datasets, build 3D models of membrane proteins. Present results
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following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
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within cells and how these processes are regulated through genetics. Our collaborative and innovative research community spans a broad range of disciplines. The Duhamel Lab studies the role