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to develop learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor
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data-driven modeling. • Experience in model predictive control or reinforcement learning is preferred. • Good publication record in energy-efficient cooling or AI-assisted energy systems is desirable. Req ID: 33224 Apply now
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(BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced control theory (e.g., model
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC
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; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
statistical methods for evaluating parallelism of dose-response curves with direct application to regulatory bioassay development and drug product quality control. Gain experience in building, selecting
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
patterns in toxicological data using statistical methods, contributing to the development of reference compound libraries for predictive model validation, and developing AI, statistical, or mechanistic
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