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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their
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hydrate–based carbon capture. The work will include reaction optimization, purification strategy development, scale-up toward bulk production, and exploration of alternative promoter candidates
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adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary
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particle trapping and related measurement techniques. Relevant skills include understanding of fundamental principles, design, optimization, computational electromagnetic, mechanical and thermal modeling
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Associate on the track of Smart Integrative Energy Systems will participate in the research efforts of developing systems integration, analysis, design, control, and/or optimization models and algorithms
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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recovery strategies for emerging solar technologies. Working in state-of-the-art laboratories, you will design experiments, optimize processing conditions, characterize materials, and collaborate with
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Paulo state, Brazil, in the area of compilers, runtimes, and High-Performance Computing, focusing on the convergence of HPC and Artificial Intelligence. The project will develop runtime optimizations and
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be used in order to optimize the different growth processes. Crystals will be oriented and shaped then characterized by optical spectroscopy, X-ray diffraction as well as by various chemical and