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processing Strong background in ferroelectrics, photonics, or solid-state materials Demonstrated ability to work independently and collaboratively in a multidisciplinary environment Strong written and oral
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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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automation, high-throughput data acquisition, and real-time data processing, offering a unique opportunity to advance S/TEM capabilities, publish impactful research, and collaborate with a diverse group of
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closely with senior members of the research group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability
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or a related field. Extensive experimental expertise is essential. Additionally, expertise in the modeling of electrochemical processes is highly desirable. 0-3 years past Ph.D. work experience is
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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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tomography and/or X-ray techniques) to monitor fouling, scaling, and other degradation processes. Conduct experimental studies on fouling and scaling in pressure-driven membrane systems (UF, NF, RO) under
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automated experimental systems to measure electrode performance and durability over extended operation. Investigate electrode material performance, aging, and degradation mechanisms for bioprocessing
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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Lemont, Illinois. Preferred Qualifications: Solid knowledge and independent research capability in stochastic process, machine learning and data analytics with track records of publications. Job Family