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learning, HPC, and computational problems related to earth system science and other dynamical systems. Development, evaluation, and applying machine learning/computational approaches, synthesis activities
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and industrial processes into material and energy balances, reagent requirements, process yields, transportation requirements, waste streams, and operating assumptions; and implement these data and
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Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, materials science, chemical engineering, physics, or a related field. Solid foundation and essential
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characterization results and electromagnetic simulations Contribute to the development of integrated instrument systems for the characterization of solid-state single-photon emitters, including photon correlation
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scale up (0.5 to 400 L) arrested methanogenesis systems to convert diverse low-value organic waste streams into value-added products (e.g., carboxylic acids), and support the development and scale-up
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engineered terahertz electromagnetic environments. The broader goal of this project is to establish a new solid-state terahertz circuit system that exploits coherent spin dynamics and light-matter interaction
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research and development efforts in the synthesis, fabrication, and characterization of diamond and other host materials along with its associated solid-state quantum spin defects. As a key member of our
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory is seeking postdoctoral researchers to work on the development of single electron on solid neon qubits. The project aims
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liquid and solid-state electrolytes using artificial intelligence, under the guidance of a supervisor. The successful candidate will contribute to projects involving the synthesis, physical and chemical
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solid electrolytes. We are seeking candidates who will be able to design experiments and develop methodologies to design material compositions, ink rheological properties, and coating and drying process