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Field
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or robotic systems Knowledge of system integration, instrument control, workflow automation, and data acquisition Experience developing and applying AI/ML methods, including predictive modeling, active
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optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, our SW Simulators, and our facilities. For further information
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, they will be involved in: • the implementation, optimization, and operation of cryogenic devices and systems; • performing low-temperature experimental measurements; • the development and experimental
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fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop targeted, precision treatments
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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of energy materials Develop and optimize advanced X-ray optical concepts with emphasis on maximizing photon flux, transmission, stability, beam quality, and experimental flexibility Design next-generation
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
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Performance Optimization and Data Management. The position is based at the University of Chicago and Argonne National Laboratory, working with Dr. Katie Harrington and Prof. Jeff McMahon. The successful
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eVTOL drone. You will drive the development of the airframe, test and de-risk the controller, and integrate and optimize the fuel-cell-based propulsion system. You will take a leadership role in