52 linked-data-"https:" "https:" "https:" "University of St" PhD positions at Aalborg University
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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of the project is to explore how generative AI can be integrated into the early stages of the architectural design process to improve sustainability-driven decision-making. A main challenge is finding ways to link
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duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
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creativity and technology, and develops new areas in research and education directed towards the end-user. You can read more about the department here: https://www.create.aau.dk/om-create . How to apply Your
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technology, and develops new areas in research and education directed towards the end-user. You can read more about the department here: https://www.create.aau.dk/om-create . How to apply Your application must
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date. Candidates must be willing to move to Denmark for the duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment/ ) for further information
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to multi-task learning for multi-cancer risk prediction. To develop these models, you will have access to unique biobank data containing genetic information linked to Danish registry data for approximately
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using signal changes to learn about the weather and take appropriate action. By combining AI with physics and real-time data, the project improves weather forecasts and makes communication systems more
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ambulance ECGs recorded since 2001, linked to the Danish national health registers and the Danish Heart registries, enabling robust validation of occluded coronary arteries and clinical outcomes. In addition
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Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking