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Field
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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beginning May 2025 to conduct research under the supervision of Prof. Nick Laneman and collaborating with other leading faculty in the ND Wireless Institute and SpectrumX, the NSF Spectrum Innovation Center
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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows
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validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
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-controlled devices, etc.). The primary function of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http
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conduct cutting-edge research in topology, entanglement, and quantum information. This position, led by Prof. Sangmo Cheon, provides an exciting chance to work in a dynamic and collaborative research
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of at least two references. Questions can be directed to Prof. Yi Zhang at yjz5549@psu.edu . BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s
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and material science applications. About the PI: Prof. Lynette Cegelski is a Professor of Chemistry in the Department of Chemistry and Courtesy Professor in Chemical Engineering at Stanford University