61 big-data-and-machine-learning-phd Postdoctoral positions at The University of Arizona
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University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . Duties
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& Responsibilities Developing automated manufacturability analysis methods for additive and conventional manufacturing processes. Applying machine learning techniques to 3D engineering data (CAD models, meshes, voxels
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evaluation of alloys; familiarity with finite element methods. Skills and experience in programming, machine learning, or signal processing are all considered a plus. Outstanding UA benefits include health
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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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related fields. Skilled in operating and troubleshooting trace gas analyzers, sensors, and/or automated sampling equipment. Ability to analyze time series data (or reasonably learn) using scientific
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projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions for SDA
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research projects in AI-driven GNC for space robotics systems, leveraging both classical optimization techniques and modern machine learning methods. Lead and support research projects in AI-driven solutions
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, and neural circuit models for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute
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for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute to NIH grant funded research
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to complete data analysis and programming (e.g., Python, MATLAB). Knowledge of 2D materials and quantum device. Collaboration and interdisciplinary research abilities. Minimum Qualifications PhD degree in