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internet Quantum embeddings for machine learning Networked quantum sensing supported by distributed classical communication Prospective applicants to this PhD proposal should have the following
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machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD
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converging operational research, machine learning, and decision-making methodologies. The ultimate goal is to create real-time autonomous systems that are not only trustworthy but also adaptive in the face of
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. The consortium consists of world-class scientists with competences spanning chemistry, biochemistry, computer science, and machine learning. All fifteen doctoral candidates will work with two research groups, and
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activities of the IKE research group, but will, as part of the GreenTraC-project, also join a cross-organisational and interdisciplinary team working on developing and implementing machine learning and natural
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models and machine learning and text analysis using natural language processing will be an integrated part of the project hence knowledge, skills, and interest in these areas will be an advantage. We
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that are commonly applied to learning and teaching practice in computer science education. Employment Terms The PhD student is expected to teach FNUG’s courses MM107 Dynamic Systems and Interdisciplinary Subject