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Silveira Júnior IV - Work Plan / Goals to be achieved: The aim of the research grant is to carry out research under the WOOSU project - “Waste Water Treatment Optimal Operation and Symbiotic Upgrades”, with
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optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds. The Electric Motor Researcher will participate in research and development (R&D) related
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outcomes. The Postdoc Researcher will play a key role in implementing system prototypes, managing data pipelines, and supporting the development and validation of AI models in collaboration with clinicians
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
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. · Demonstrated understanding of experimental design and assay optimization. · Strong interpersonal skills, communication skills (orally and written) and the ability to interact positively and productively
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videos and transcripts and securely backup test results, while handling with confidentiality. Set up, calibrate, and maintain laboratory and testing equipment to ensure optimal performance, troubleshooting
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on the distribution grid with distributed energy resources (DERs). The intern will work on projects developing learning-based analytics, and cyber-attack-resilient control strategies and optimizations for power
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation