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scientist and engineers at the University of Cincinnati as well as Procter & Gamble across numerous scientific domains. Utilize mathematical modeling, statistical techniques, chemistry, physics, and
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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
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seeking a Postdoctoral Research Associate in Numerical Electromagnetism to model and optimize nano-structured fibres for radiative cooling. The incumbent will have extensive experience in numerical
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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algorithms and codes for AI-enabled digital twin technologies. Design advanced numerical algorithms for partial differential equations and optimization problems related to digital twin technology. Implement
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researcher to contribute to a project focused on optimizing light diffusion in phase-separated glasses. These glasses, characterized by the coexistence of multiple glassy phases, exhibit a nanoparticle-in
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requires not only expertise in LLMs and machine learning but also an understanding of the unique challenges posed by scientific data, which often includes large-scale numerical datasets, complex simulations
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. This innovation will help optimize therapeutic strategies, reduce unnecessary treatments, and improve patient quality of life. The postdoctoral researcher will contribute to the development and validation
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Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms for smart energy systems to enable smart and healthy