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physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, quantum information. While this fellowship targets theorists
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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requires the following: • A PhD in engineering, operations research, or a related field. • A proven track record of independence and a strong enthusiasm for interdisciplinary research in energy systems
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