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Field
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world-changing potential. We are developing scalable prototypes of a quantum computer and a secure quantum internet. We believe quantum technology will be a game changer in many social and economic
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Interaction, Computer Science, or a related field. Proven experience with, or a strong interest in, sensor-based system development, biosensing technologies, physiological measurement, and data collection
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the departments’ workshops and teaching
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work to segmentation algorithms with computer scientists. It is a preference if you additionally have experience in performing interdisciplinary research together with another scientific specialty
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ You
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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to real-world engineering challenges. Computer Engineering or related disciplines, provided you have a strong interest in communication systems and networking. If you have a solid technical background and
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level, from the quantum processor to the quantum-classical interface all the way to quantum algorithms and applications. The vision of the programme is to enable the development of fault-tolerant quantum
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences