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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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completed in a relevant field of study. Knowledge of x-ray/optical/electron physics, including diffraction, optics, detectors, scattering etc. Experience with deep learning (DL) libraries such as Tensorflow
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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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-traditional support materials • Investigate how the stereoelectronic properties of the catalytic surface and/or external stimuli manipulate catalyst electronic properties, and how these factors can manipulate
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from academia, national laboratories and industry on advanced synchrotron X-ray, electron microscopy characterization, interfacial analysis, and full-cell prototyping. Position Requirements Recent
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of these materials and how electronic metal-support interactions in non-traditional catalyst materials can be leveraged to modulate catalytic activity and selectivity, including studies towards understanding reaction
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Investigate how dynamic stimuli manipulate catalyst electronic properties, and how these stimuli can manipulate catalytic elementary steps and reaction outcomes Perform detailed in situ / operando studies
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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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such as microelectronics and self-assembly of nanocomposites. Therefore, we seek highly motivated candidates to drive the project independently while interacting closely with senior members of the research
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for holotomography and to perform dynamic experiments using the Projection X-ray Microscope (PXM) instrument for studying microelectronics. As part of a collaborative team, the successful candidate will participate in