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Field
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. Required Minimum Qualifications: Ph.D. in Condensed Matter Physics, Materials Science, or a related field. Preferred Qualifications: Extensive experience in AI/ML and high-performance computing. Strong
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success. Basic Qualifications: A PhD in theoretical or computational chemistry or closely related field in physical chemistry or chemical physics completed within the last 5 years. Demonstrated expertise
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training in sciences in our state-of-art teaching facilities. Our department is committed to giving back to society through our extensive outreach program. We are a prestigious university with strong
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and modelling of nanoelectronic devices operating at cryogenic temperatures (4 Kelvin - 77 Kelvin) for energy efficient quantum computing (QC) and high-performance AI computing in data centres
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techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
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National Laboratory located in Ames, Iowa, on the campus of Iowa State University. We are dedicated to translating foundational science through applied research to create technological innovations. We create
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Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
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expertise from a wide range of partners in academia and industry, with both application and system expertise. About us CAPS is part of TUM’s department of Computer Engineering, one of the leading CE
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physics such as materials physics, photonics, computational physics, high energy physics, atomic and nuclear physics, plasma physics, theoretical and quantum physics, and astrophysics. With approximately 20
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team that focuses on materials for classical microelectronic interfaces and quantum information science. The group actively interacts with the broader Argonne and UChicago community of scientists as