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with internal and external research partners to advance project objectives and meet program milestones Analyze experimental data and prepare reports, technical presentations, and updates for internal
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The Nanocomposite Materials and Membrane Manufacturing group in the Applied Materials Division (AMD) has an opening for a postdoctoral researcher to develop materials, membranes, and fabrication
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University of Notre Dame to develop novel on-chip superconducting quantum detectors with magnetic targets for low-energy axion dark matter detection. Key Responsibilities: Develop superconducting hybrid
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systems. This is an opportunity to conduct applied research that advances trustworthy AI for biomedical and national security-relevant use cases while working in a multidisciplinary environment that brings
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Experience with developing AI/ML Deep Learning models, working with agentic workflows, model training and other emerging AI techniques and tools Programming experience in Python, C++, or similar scientific
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cathode materials for lithium-ion and sodium-ion batteries. This work will include the use of advanced synthesis methods, electrochemical testing, and state-of-the-art characterization techniques
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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that can guide experiments, improve efficiency, and strengthen collaboration between computation and experiment. Key Responsibilities Develop machine learning-ready data resources for materials by
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-optimization of industrial end-use systems and energy supply systems. Build reproducible computational workflows for data processing, model development, calibration, validation, and scenario analysis. Develop
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vehicle systems, identify opportunities for improvement, and/or analyze their impacts at individual, regional and national level. The candidate will also be tasked to develop new ideas into projects under