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on developing data-driven, low-order aerodynamic models of VPPs, updated in real time with experimental data, and using them to design control strategies for flight stability and performance optimization
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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explore how to combine data-driven and model-based approaches to assess the quality of returned parts, monitor in-process performance in real time, and support intelligent decisions on remanufacturing
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team using the contact information below. The Role We are looking for a diagnostic R&D scientist to be part of the Cell Models and Antibody Technology team within our Medical Devices Research Centre (MD
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team using the contact information below. The Role We are looking for a diagnostic R&D scientist to be part of the Cell Models and Antibody Technology team within our Medical Devices Research Centre (MD
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engineering. Knowledge of and experience with signal processing is considered valuable, as is hands-on experience with experimental work. You are preferably a driven person, aiming for good research work and
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create ground-breaking mathematical tools for data-driven modelling and control of complex processes, which will be efficient in practice and have rigorous theoretical foundations. It is envisioned
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models in Matlab or Python. Laser-assisted automated fiber placement Laser-assisted fiber placement (LAFP) is an additive manufacturing technology for thermoplastic composites. A laser heats both the
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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experimental work and risk modeling, you will help uncover how chemicals and microplastics are released from consumer products and contribute to the development of Safe and Sustainable by Design (SSbD