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of this PhD is to develop physics-informed neural operator frameworks that embed governing equations and invariants of fluid mechanics directly into learning architectures, enabling real-time, generalizable
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success. Work with technical architects on the team to validate design and implementation approach. Take ownership of architecture design and development of scalable and distributed software systems. Own
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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Research Scientist IV, Information Science (Extended Temporary) (Remote Work Available) Posting Number req25414 Department Information Science Department Website Link https://infosci.arizona.edu/about
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
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Application Further information on the posts and the University is available at http://www.cityu.edu.hk , or from the Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee
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to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency
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existing financial IT infrastructures, could be another potential direction for this PhD project. For example, this could involve studying system architectures that integrate AI with legacy platforms
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and curate software, datasets, and other resources for the community. Collaborate on the design, implementation, and refinement of tools for formal mathematics. Foster connections across disciplines
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large