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Field
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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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per year, subject to annual increases. About the Project (Background & Methodology) Autonomous systems such as drone fleets, mobile robots, and sensor networks increasingly use federated learning (FL
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expected to build on commercial and prior research-developed projection-based AR digital work instruction systems. Diverse human-robot cooperative setups equipped with both op mounted dual projection systems
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matter expert, AI/ML, robotics and automation etc.) to address specific areas of the project. However, you will serve as the primary orchestrator to realize a successful self-driving laboratory, and be
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for optimization algorithm development and associated experts for integration into the experimental workflow. You will work with a team that possesses focused skill sets (subject matter expert, AI/ML, robotics and
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backgrounds such as AI, computer vision, computer graphics, machine learning, robotics, wearable technologies, textile engineering, fashion technology, digital fashion, or related areas are encouraged to apply
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the development and integration of robotic equipment, a detailed study of matrix-reinforcement interactions, and the de-velopment of structural engineering models to describe behaviour and failure limits. Besides
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pushing the frontier of robot autonomy. Aiming to break new ground this PhD project focuses on developing novel foundation models for underwater robot perception and navigation. The aim is twofold
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on the design of next-generation wireless communication systems for real-time applications such as robotics, industrial automation, drone swarms, and smart environments. A fundamental challenge in these systems
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an interdisciplinary research team and contribute to innovative studies using EEG, virtual reality, robotics and computational methods. You will be part of the project 'The Body Positioning System: A GPS for