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superconducting transmon qubits and electron-on-neon qubits. Characterize quantum devices using a millikelvin dilution refrigerator. Collaborate with team members and external partners to conduct quantum computing
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computer-aided design software. Collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Ability to demonstrate strong written and oral
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scientists with extensive microelectronics (materials and devices), AI, computational materials science and materials characterization expertise; and will be expected to bring the electrochemical expertise
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(microelectromechanical systems) devices for X-ray optics at synchrotron radiation sources. Some background of the project is given in the publications listed below. The idea is to make highly nonlinear MEMS-based
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campus in Lemont, Illinois five days per week. Preferred Qualifications Proficiency in programming (e.g., Python) for advanced data analysis, machine learning, and computer vision to accelerate insights
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the microelectronics area. Deliverables: 1. Fabrication and electron microscopy of magnetic and ferroelectric devices in MSD and CNM of samples provided by our group. 2. Analysis of these measurements to reveal time
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++, or similar, with experience in data-driven workflows and computer vision Demonstrated track record of peer-reviewed publications Highly collaborative, innovative, and capable of working independently in a
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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characterize the devices in a dilution refrigerator. The postdocs will work with other team members and collaborators to perform remote quantum transduction and computing experiments in the quantum network