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coherently scattered light from a target of interest. Within the project, you will investigate how to achieve full control over the amplitude and phase of the input probe, what additional constraints
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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23 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Systems engineering Researcher Profile First
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be carefully controlled and optimised to ensure good electrochemical performance, mechanical integrity, and impermeability. This challenge is compounded by the lack of rapid inspection methods capable
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and NTNU. The project aims to develop an AI-enabled automated platform capable of operating and monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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30th September 2026 Languages English English English Build AI digital twins for real-time fermentation control and drive the future of biotech PhD scholarship within Bioprocess Engineering Apply