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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
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of reactor systems. Knowledge of heat transfer and fluid dynamics for nuclear system applications and reactor safety analyses. Knowledge of computation methods and numerical solvers for engineering
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure
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analysis of transmission systems (steady state and dynamics). Mostly using PSS/E python interface. Develop, implement and validate state and output feedback control. Additionally, candidates will: Give
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candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular
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researchers performing molecular modeling and machine learning activities. The candidate will be expected to perform ion conductivity experiments with thin film polymer electrolytes. The candidate will use
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into such questions, with an emphasis on exploiting x-ray wavefront coherence at short wavelengths. Areas of focus will include quantification of lattice quality and growth dynamics during chemical vapor deposition
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and written communication skills. The ability to work in a dynamic, interdisciplinary team. Programming expertise in Java, C++, Python, or R. Experiences with large databases and data manipulation tools
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the magnetic correlations and dynamics in disordered magnetic systems as well as local atomic correlations in disordered structural lattices using neutron and/or X-ray scattering techniques. This will primarily