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Field
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national scale experimentation. 6G will bring new levels of native AI inside the telecommunication network, orchestrating resources for both the telecommunication network and for the end-user application
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traditional vehicles which consumes fossil fuel. All these ambitious targets and technical movements require large scale commissioning of power electronic devices which converts energy into various formats in
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will center on creating techniques capable of “seeing” in both real and energy space at the spatial scale of the devices themselves (<50 nm). This will be accomplished by employing Purdue’s newly
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policy, economic sociology, and international relations. Methodologically, it draws on and combines both quantitative and qualitative methods, with a particular focus on computational and multi-method
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, the focus of the PhD project is to develop a methodology to digitalize the recycling line of spent LIBs from EVs for a large-scale application, while integrating existing research. Specifically, the project
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laboratory employs a wide range of tools, including molecular biology, functional genomics, multi-omics, and bioinformatics, to investigate how epigenetic crosstalk promotes normal neurodevelopment and how
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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new conversational AI models, based on recent foundation models. The key research question is how these state-of-the-art language models (including multi-modal versions) can be leveraged and adapted
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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influenced by its unique thermodynamic properties and the low flow off design performance. The design methods and multi-phase models would be validated by experiments on lab scale components. This position is