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: Shanghai, Shanghai 200438, China Subject Area: Physics / quantum information theory and atomic experimental physics Appl Deadline: (posted 2025/04/10, listed until 2025/08/01) Position Description: Apply
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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assess the process maturity of new, still immature production processes along their process development and optimization. The concepts of "observability" and "controllability" known from systems theory
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are defined: 1) Conceptual design principles and methods for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods
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research group of Prof. Monica Menendez. The group focuses on monitoring, modeling, and controlling the operations of multimodal transportation systems. Particular attention is paid to new vehicle
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manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable
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to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models
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the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and
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application of engineering principles, theories and concepts as well as general knowledge of hybrid energy related disciplines and applications. The researcher will use a combination of conventional control