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interactions and their integration with wider energy networks. Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture
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interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural Networks for Multi-Scale Urban Energy Systems Your tasks The focus of this research is to design and
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: Design and perform experiments using NMR spectroscopy and single-molecule FRET Purify and biochemically characterize proteins and their complexes Analyze and interpret advanced biophysical and single
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blade aerodynamics, gust interactions, and fluid-structure interactions. The research focuses on unfolding the origin and development of unsteady flow separation and vortex formation. The lab has built a
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protein-DNA interactions) Produce stable complexes between proteins and/or DNA Determine structures of proteins/complexes Design mutants and perturbations for in vivo experiments Perform in vivo functional
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: design and operation of scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific
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DyeCycling to map protein energy landscapes in unprecedented detail, thereby gaining access to previously overlooked effects, like dynamic disorder, with far-ranging consequences for the design and functional
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this project, you will: Design and perform experiments using NMR spectroscopy and single-molecule FRET Purify and biochemically characterize proteins and their complexes Analyze and interpret advanced
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implant technology by designing, fabricating, and testing biomimetic, compliant metastructures made of hydrogel-ceramic nanocomposites capable of mechano-directed bone formation and designed to closely