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biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run high-performance numerical experiments
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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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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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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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the ability to prioritize incidents based on business impact. Performance Optimization: Knowledge of techniques to optimize AI system and data pipeline performance, including resource allocation, scaling
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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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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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, 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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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