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Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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with potential impact across quantum networking, communications, and computing. Research Focus Design and fabricate superconducting devices that leverage the nonlinear kinetic inductance of thin
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oxide 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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National Laboratory. Your responsibilities will encompass pioneering novel synthesis doping techniques for "quantum grade" diamond, optimizing surface termination methods, and developing deterministic
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structure theory Demonstrated computational expertise in applying quantum mechanical methods to study: electronic and photochemical properties catalytic reaction mechanisms homogeneous and heterogeneous
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research in the field of metallization and decarbonized metal production, using methods such as aqueous electrolysis, non-aqueous electrolysis, and molten salt electrolysis. The candidate will
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industry partners. Responsibilities will include designing and conducting experiments, developing slurry-based processing methods, building and operating materials recovery systems, analyzing material
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stochastic modeling methodologies: Energy storage, electricity market analysis and power flow modeling. Supporting multidisciplinary teams in the application of these methods and tools to complex issues in
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. Additional responsibilities will include contributing to the specification, design, and commissioning of ALD reactor systems, as well as developing metrology methods to monitor and improve deposition
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focus on the design and development of novel fabrication methods for trilayer superconducting qubits with a particular focus on incorporating atomic scale processing (i.e. atomic layer etching and