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opens a call for the assignment of a research grant, with one position(s), under the project SOMIPs - Simulation, Optimization and Monitoring using AI-based Digital Twin Technology for Incineration Plants
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to prepare and stain sections; (2) optimize image analysis pipelines; (3) organize, document, and present data clearly for group meetings and reports; (4) maintain laboratory records, follow safety protocols
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"Future-Predictive Digital Systems through Super Dimensional State Engineering". The objective of this project is to develop future-predictive digital systems that facilitate the design and optimization
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GitHub. Essential Duties and Responsibilities: Assist in the development and implementation of AI agents and machine learning models for civil engineering applications Develop, test, and optimize models
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who possess experience with digitization projects, an understanding of metadata creation and MARC cataloging, knowledge of OCR output optimization, experience with grant management, excellent
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‑space exploration, and on‑line operational optimization of power systems. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative
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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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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