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in the tramway network of the city of Palermo. The main objective is to design and validate advanced control algorithms capable of optimally managing the power flow between the DC traction network
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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at Morgan State University More Jobs from This Employer https://main.hercjobs.org/jobs/21950086/director-of-procurement-property-control Return to Search Results
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, implementation, maintenance, and optimization of our database systems. The role requires hands-on expertise in database management, performance tuning, backup/recovery strategies, and troubleshooting complex
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recover quickly from disruptions. The research will involve reinforcement learning, predictive modeling, and real-time adaptive control to dynamically optimize production sequencing, resource allocation
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Ferromagnetic Nanoparticles for Water Pollution Control Key words: Organic synthesis, Cyclodextrin, Magnetite, Capture/Release/Recycling, Inorganic and Organic Pollutants, LC-MS Quantification/Isothermal studies
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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employees: https://facilities.med.wustl.edu/Careers. WashU Medicine is actively seeking an experienced Building Automation System/DDC Controls Technician. This position will provide programming, repairs, re
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies