18 evolution "https:" "https:" "https:" "Multiple" "Newcastle University" PhD positions at Aalborg University
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experience in fieldwork and data analysis to technically oriented candidates with expertise in AI and interactive systems development. Scientific dissemination is expected to focus on leading Human-Computer
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over-the-top and the ongoing development of 5G and 6G. With new network structures, also conditions for content creation changes; it can be assembled ‘on the fly’ allowing for a highly granular and
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning, a PhD stipend is available within the general study program Development and Planning. The stipend is open for
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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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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 suite of
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
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. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
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to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will