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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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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
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<span lang="en">Helmholtz-Zentrum Dresden-Rossendorf e. V.</span> | Dresden, Sachsen | Germany | about 3 hours ago
control theory (e.g., model predictive control, fuzzy control, etc.)
- Willingness to work on numerical and experimental tasks
- Excellent teamwork and communication skills in an
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as AWS SageMaker Small or large language model development with retrieval-augmented generation Desirable : Industrial analytics or predictive maintenance Knowledge of construction-related industries
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We are looking for a highly motivated candidate to pursue a PhD programme titled " CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition ." This research
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spatiotemporal distributions of thermal variables, suffer from limited predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence
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written and spoken English. Experience with some of the areas of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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next-generation pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A