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) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling
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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable manufacturing systems. The methods will be co-developed and
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-EEG, rTMS, HD-tDCS), bio-medical techniques (e.g. linked with epigenetics and general biomarkers), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs