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to): biophysics, cold atom physics, electronic structure theory, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish
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, hydrodynamics, machine learning, materials science, statistical physics, strongly correlated electrons, and quantum information. Theorists who wish to be considered for sponsorship as a Klarman Fellowship
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will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and
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veterinary technician simulation training as well as internal and external continuing education. This experience will provide the foundation necessary to: identify the learning needs of diverse audiences
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of alumnus Dev Joneja, PhD ‘89. Maxwell Fellows provide a bridge to enhance collaboration among faculty developing cutting edge tools in data science and in biomedical research, potentially spanning